2024 Curated Analysis, Opinions, Reports
- 20 Nov 2024
- 333 Minutes to read
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2024 Curated Analysis, Opinions, Reports
- Updated on 20 Nov 2024
- 333 Minutes to read
- DarkLight
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Title/Link | Description | Category |
|---|---|---|
Computerworld - ChatGPT’s Windows app beats Microsoft Copilot for productivity | Even at launch, ChatGPT’s Windows app is already a better productivity tool than Copilot. It’s quite a setback for Microsoft’s AI assistant — which, when it first launched as Bing Chat, had a more powerful AI model than ChatGPT and offered features that went beyond what ChatGPT offered, such as the ability to search the web. | Automation & Productivity |
VentureBeat - Microsoft quietly assembles the largest AI agent ecosystem—and no one else is close | These AI agents – software that can reason and perform specific business tasks using generative AI – are emerging as a powerful tool for enterprise automation and productivity. Microsoft’s platform enables organizations to build these agents for tasks ranging from customer service to complex business process automation, while maintaining enterprise-grade security and governance. | AI |
Computerworld - An Android-ChromeOS merger might actually make sense now | To better compete with the iPad as well as manage engineering resources more effectively, Google wants to unify its operating system efforts. Instead of merging Android and ChromeOS into a new operating system like rumors suggested in the past, however, a source told me that Google is instead working on fully migrating ChromeOS over to Android | Automation & Productivity |
Forbes - The Simple ChatGPT Trick That Will Transform Your Business AI Interactions | Please help me create five social media posts optimized to generate maximum engagement. First, ask any questions, one at a time, you need in order to understand my business, our products and services, and our branding and messaging. It’s important you understand who our customers are and our brand’s voice, tone and style. When you have enough information, please draft the posts. | ChatGPT |
ZDNET - How to use AI for research the right way - responsibly and effectively | Sometimes, I think AI chatbots are modeled after teenagers. They can be very, very good. But other times, they tell lies. They make stuff up. They confabulate. They confidently give answers based on the assumption that they know everything there is to know, but they're woefully wrong. | AI Ethics |
Forbes - Gartner’s 2025 Strategic Technology Trends Are Just Right | The AI theme is right – and my students would agree. In our classes on AI, Machine Learning and Generative AI and Emerging Business Technologies at the Villanova School of Business, we also track technology trends. We’ve moved from large language models (LLMs) to generative pre-trained transformers (GPTs) to custom GPTs to proprietary LLMs to Agentic AI pretty quickly noting how “easy” it is to create agents with tools like Autogen, LangChain and CrewAI, among others. There’s no question that agentic AI is a major and significant trend in 2025 and beyond. | Tech Trends |
ZDNET - Organizations face mounting pressure to accelerate AI plans, despite lack of ROI | Across the Asia-Pacific, 98% of respondents expressed an increased urgency to deploy AI over the past year, with 49% pointing to their CEO and leadership team as the main source of pressure. Another 40% said their middle management was feeling pushed to adopt AI, while 36% cited their board of directors. | AI |
While companies that add the role may be well-intentioned, there’s a danger that AI ethicists will be token hires, ones who have no meaningful impact on the organization’s direction and decisions. How, then, should organizations integrate ethicists so they can live up to their mandate of improving ethical decision-making and responsible AI? | AI Ethics | |
ZDNET - Businesses must reinvent themselves in the age of agentic AI | Principle: Evolve business and technology to a modern cognitive architecture that mimics human-like thinking and learning -- always on, always listening, and always learning. Dynamically adapt to changing user engagement, context, and data, using AI as the central orchestrator of processes. This approach allows systems to flex to changing business needs, moving from instruction-driven to intent-driven systems. | AI |
Forbes - The 10 Most Important Banking And Financial Technology Trends That Will Shape 2025 | Having mastered these initial use cases, banks and other financial service organizations that have reached a sufficient level of AI maturity are looking towards more advanced deployments, involving fully autonomous decision-making and real-time risk assessment. Getting this right will lead to further gains in efficiency but also involve facing up to greater challenges around customer data, privacy and ethical AI use. | FinTech |
VentureBeat - AI’s math problem: FrontierMath benchmark shows how far technology still has to go | Developed by the research group Epoch AI, FrontierMath is a collection of hundreds of original, research-level math problems that require deep reasoning and creativity—qualities that AI still sorely lacks. Despite the growing power of large language models like GPT-4o and Gemini 1.5 Pro, these systems are solving fewer than 2% of the FrontierMath problems, even with extensive support. | AI |
The numbers are brutal. McKinsey predicts 400 million jobs will be gone by 2030. Google sugar-coats it: only 69% of jobs will change or vanish, the rest will be “enhanced”. But walk into any startup office and count the empty desks. Those jobs didn't wait until 2030. | AI/Jobs | |
Fast Company - I’m the CEO of an AI company, and this is the BS behind AI | Given the technical complexity of AI solutions, there is no way that a short ad can convey sufficient information for a prospective buyer to evaluate the solution. Unfortunately, even more detailed discussions and presentations often cannot explain how an AI tool works, especially considering that many data scientists themselves may not fully understand how an emergent AI-generated outcome is created. | AI |
AI Business - Accuracy, Bias in AI Concerns Most CEOs: IBM Study | To address these concerns, 60% of C-suite respondents have placed clearly defined generative AI champions throughout their organization. Meanwhile, 78% of executives said they maintain robust documentation, indicating they are concerned about explainability. | AI |
EDUCAUSE - QuickPoll FastFact: Should Cybersecurity and Privacy Functions Be Integrated? | Cybersecurity focuses on protecting systems and data, while privacy centers on regulatory compliance and protecting personal identifiable information (PII). Both areas require different skill sets, making separate functions essential for addressing their specific objectives. Separating the functions ensures that each area can prioritize its objectives without compromising the other. | Privacy & Security |
ZDNET - The obvious reason why I'm not sold on smartphone AI features yet (and I'm not alone) | Since I received my Pixel 9 Pro, I've directly interacted with AI maybe a handful of times. I have Gemini Live installed and haven't used it beyond a test conversation. The camera app includes all sorts of tools to help me take better photos (or improve the photos I've taken), but I'd rather know what I'm doing, so I can take quality photos without the help of the AI shortcut. The most I've done with AI on my Pixel 9 Pro is set alarms and add appointments to calendars. | Automation & Productivity |
The truth is, we've entered an era where a single fake video or manipulated image can wipe millions off a company's market value in minutes. While we've all heard about the societal implications of AI-generated fakery, the specific risks to businesses are both more immediate and more devastating than many realize. | AI Ethics | |
This is because, Accenture argues, that the notion of simply focusing on lowering input (effort required) overlooks the ‘knowledge productivity’ that is pivotal to today’s “hyper-competitive, tech-driven economy”. This is where generative AI comes into play, which Accenture argues can act as a multiplier for a knowledge-driven economy. | AI | |
From my conversations with people — whether it’s talent, brands, or just folks in my network — I’ve noticed that most don’t have extreme opinions about AI. They’re curious, they want to understand, but they haven’t fallen into the “AI is everything” or “AI is evil” camps. | AI | |
ZDNET - One third of consumers would prefer working with AI agents for faster service | The State of AI Connected Customer research shows that customers are willing to use AI agents if they know they are interacting with agents and if there is a clear escalation path to human employees. | AI |
VentureBeat - Enter the ‘Whisperverse’: How AI voice agents will guide us through our days | A common criticism of big tech is that their platforms treat users as little more than glassy eyeballs to be monetized with targeted ads. This will soon change, but not because tech platforms are moving away from aggressively targeting users. Instead, our ears are about to become the most efficient channel for hammering us with AI-powered influence that is responsive to the world around us. Welcome to the Whisperverse. | AI |
Forbes - ChatGPT’s New Search Function: Efficiency Clashes With Exploitations | Traditional search engines offer static lists of links. AI models create a dynamic conversation where users can dig deeper, ask questions, and refine their understanding all at once. | Search |
This is a much more complex query with a much more complex answer. Both Google and ChatGPT do fairly well, but the difference is that ChatGPT wants to supply an answer, whereas Google wants—at least in this case—to feed you matching web results. | Search | |
Respondents to an IEEE study in September rated AI as one of the top three areas of technology that will be most critical in 2025 in 58% of cases. Conversely, nearly all respondents (91%) agree that 2025 will see “a generative AI reckoning” regarding what the technology can or should do. Expectations for generative AI are high, but the success of projects leveraging it remains uncertain. | GenAI | |
The retrieval economy centers around finding existing information, while the generative economy emphasizes creating new information and solutions that are tailored to how you like to receive it. It can be in multi-modal format from text, image, audio or video and it will be iterative and conversational. | AI | |
“I’ve been really encouraged to see business and legal directives help mitigate risks or manage relationships around the technology and use, and parties really trying to be proactively thinking about how to address things when we don’t have clear-cut legal guidance on every issue at this point.” | GenAI | |
Forbes - AI Experts — Even Google’s AI — React To OpenAI’s New Search Feature | The real-time results provide generative AI responses that are augmented with multiple links, citations and images. These additional outputs help improve the accuracy and reduce AI’s tendency to fabricate facts when it doesn’t know something. | AI Search |
ZDNET - Why data is the Achilles Heel of AI (and every other business plan) | There's an uneasy dance going on between data handling and AI development across the business landscape. The challenge is that data remains too much of a risk, rather than an asset in data-driven or AI-based initiatives. | AI |
Information Week - It Takes a (C-Suite) Village to Implement AI | People are fundamental to every transformation, including AI-powered transformation. In fact, research by the EY organization and the University of Oxford’s Saïd Business School highlights that by placing humans at the center of a transformation, the likelihood of success increases more than 2.5 times, from 28% to 73%. | AI |
VentureBeat - Unleash the power of data, AI agents and humans to transform CX | The stakes are high: globally, poor customer experiences cost organizations $3.7 trillion annually — an increase of $600 billion from last year. According to our 2024 AI and Customer Service Index, only 50% of people believe AI has improved service in recent years. As we look ahead to 2025, it’s clear that customer service is still broken, and the traditional approaches aren’t delivering. New answers are needed, and those answers lie in the powerful fusion of data, AI and humans. | Customer Experience |
Forbes - When To Use AI And When Not To - Step By Step Guidance | However, it’s crucial to remember that AI should serve as a complement to our abilities rather than a replacement for them—this will maintain the integrity between man and machine. Knowing when to use AI is key. This article will guide you on how to effectively use AI as a tool rather than a replacement for your intellectual curiosity, critical thinking, and the need for skilled knowledge workers. | AI |
Information Week - 7 Things That Need to Happen to Make GenAI Useful to Business | “The disillusionment has occurred because many enterprises had inflated expectations from many of the great demos and hype. They thought these models would be as accurate as a spreadsheet or database and that they would be able to incorporate their own data easily. Many enterprises didn’t actually define success criteria for GenAI; enterprises report that 90% of proof of concept projects never make it into production,” | AI |
SiliconANGLE - Generative AI adoption sets the table for AI ROI | Moreover, 97% of leading gen AI adopters report that they’re achieving tangible benefits from their deployments. Adoption of gen AI is relentlessly on the rise and nearly two years in, is poised to begin throwing off enough value that it will heighten a mandate to apply AI to drive business results. As such, we believe that as we exit Q4 into 2025, the demand for AI solutions will continue to occupy the headspace of business technology pros and AI momentum will maintain its accelerated pace. | AI |
AiThority - Balancing Speed and Safety When Implementing a New AI Service | AI alone won’t solve all your business problems, but understand that this new technology can be a powerful tool when deployed with purpose. Take the time to outline your pain points and then map AI’s capabilities to those areas to understand how you can drive specific impact with a new AI solution. | AI |
We’ll be tracking this very closely in the coming weeks and months. Whatever happens next, the comments of the past few weeks emphasise the competitive importance of securing thought leadership in this space. There’s a lot to play for here, for vendors and and users alike. | Automation & Productivity | |
Forbes - Does The Rise Of AI Agents Signal The End Of The App Economy? | For the past year I have closely tracked how much of the enterprise software and SaaS services we use will be deprecated to data services or databases. AI tools and agents will remove abstraction layers and enable a single-pane-of-glass-type use case where we can leverage multi-modal generative tools to build a real time UI for a specific query or use case. (Think search with Gen AI for business.) | AI |
“You don’t have business leaders, or even IT leaders taking some basic AI literacy classes,” he says. “There’s some fundamental misunderstanding about what problems AI solves, and there needs to be a continuous curiosity and learning, not only from the IT professionals, but from the IT leadership and then the business executives that are expecting technology solutions to be delivered.” | AI | |
Information Week - IT pros: One-third of AI projects just for show | A substantial 36% of IT professionals surveyed by Dice.com believe that the primary purpose of many AI projects they’ve worked on is to show investors, board members, or outside stakeholders that the company is doing something with AI. | AI |
TechRepublic - Generative AI Defined: How It Works, Benefits, and Limitations | Generative AI has prompted workforce concerns, most notably that the automation of tasks could lead to job losses. Research from McKinsey suggests that around 12 million people may need to switch jobs by 2030, with office support, customer service, and food service roles most at risk. The consulting firm predicts clerks will see a reduction of 1.6 million jobs, “in addition to losses of 830,000 for retail salespersons, 710,000 for administrative assistants and 630,000 for cashiers.” | GenAI |
Amidst the enthusiasm for AI-driven transformation, a significant reset is looming. The expectation for immediate returns on AI investments will see many enterprises scaling back their efforts sooner than they should. This retreat risks stifling long-term growth and innovation as leaders realize that the ROI from AI will unfold over a more extended period than initially anticipated | AI | |
ZDNET - Technologist Bruce Schneier on security, society and why we need 'public AI' models | Schneier opened by saying, "AI is a complicated word. When I think about how technologies replace people, I think of them as improving in one or more of four dimensions: speed, scale, scope, and sophistication. AIs aren't better at training than humans are. They are just faster." Where it gets interesting is when that speed fundamentally changes things up. | AI |
Information Week - Oops! You May Be Selling or Sharing Personal Information | Knowing whether you are subject to these laws is probably the biggest compliance question your organization needs to ask right now. If you are subject to one or more comprehensive privacy laws, the next biggest compliance question for you is whether your organization sells or shares personal information. This latter inquiry, although extremely important, can be difficult to answer. | Data Privacy |
By 2029, 10% of global boards will use AI guidance to challenge executive decisions that are material to their business. AI-generated insights will have far-reaching impacts on executive decision making and will empower board members to challenge executive decisions. “Impactful AI insights will at first seem like a minority report that doesn’t reflect the majority view of board members,” said Plummer. “However, as AI insights prove effective, they will gain acceptance among executives competing for decision support data to improve business results.” | AI | |
Information Week - 10 Reasons Why Multi-Agent Architectures Will Supercharge AI | Companies are eager to move beyond using GenAI in improving employee productivity to tackle complex use cases but they’re mostly hitting a wall in the process. It won’t be until most or all of an organization’s technology is fully integrated by AI bots that the real magic will occur, let alone at scale. | AI |
Forbes - 55% Of Employees Using AI At Work Have No Training On Its Risks | “I think that the average citizen still thinks about these AI tools as if they’re Google’s search function. We think about what we're getting out, but we don't think about what we're giving up, what we're putting in. I don't think a lot of people understand that when they put information into an AI, that it actually goes into the learning, the training model data lake.” | AI |
VentureBeat - Gartner: 2025 will see the rise of AI agents (and other top trends) | “Nobody ever goes to bed at night with everything done. Organizations spend a lot of time monitoring things. The ability to create agents to not only do that monitoring but take action will help not just from a productivity perspective but a timing perspective.” | Automation & Productivity |
SiliconANGLE - Five steps for organizations to create an AI literacy roadmap | AI literacy is the ability of people to employ AI effectively and responsibly in context, both business and societal. This includes knowledge about the implications, risks and resulting value and outcomes. It includes understanding the fundamental principles of AI, technology and applications, analytical and algorithmic methods, data and knowledge sources, and ethical considerations. AI literacy, and the required depth of knowledge and competencies across these topics, vary per role of those involved in AI. | AI |
Forbes - Agents Of Change: How AI-API Synergy Turns Insights Into Action | Imagine a world where your business operates 24/7, making smart decisions and seizing opportunities even while you sleep. This isn't science fiction—it's the new reality shaped by artificial intelligence (AI) agents and Application Programming Interfaces (APIs). In today's digital-first landscape, this powerful combination is rapidly becoming the secret weapon for companies looking to stay ahead. | AI |
Similarly, companies may claim that their onboarding process uses AI, but only a small element, like document recognition, might be powered by AI. In reality, most of the process relies on traditional methods with minimal AI integration. Also, AI’s potential in credit scoring seems excellent — it can help with more detailed and sophisticated big data analysis. However, it is again often a conventional data-based automation with minimal ML usage. | AI | |
Forbes - Pivot Or Die: Why Adaptability Is The Key To Survival In The Age Of AI | "Draw the chart for 5 or 10 years. Now, where things are going to be, which people are not very good at. I mean, our government's not good at it with a budget. We haven't been good at it with electricity usage or even how electric cars will be deployed. We're making decisions on the basis of short-term trends and ideas, and that's not healthy." | Tech Trends |
Computerworld - AI isn’t really that smart yet, Apple researchers warn | The study shows that, despite the hype, LLMs (large language models) don’t really perform logical reasoning — they simply reproduce the reasoning steps they learn from their training data. That’s quite an important admission. | AI |
“Every employee should be knowledgeable about email, such as setting email signature, adding an account, disable photos in mails, send mass emails, etc. Crafting a presentation [using] Google Slides or PowerPoint is crucial in modern workspaces), sharing and backing [up] files, running updates, and setting antivirus software to protect their computers and delicate professional data,” | Tech Skills | |
Diginomica - AGI Symposium – AI innovation could benefit from working smarter and not just harder | The prevailing opinion held by Silicon Valley giants is that building on the gains of gen AI, particularly Large Language Models (LLMs), requires even larger data sets, data centers, and energy requirements. This works great when it comes to justifying more expensive services and AI hardware. Less so when it comes to improving efficiency and accuracy while reducing hallucinations, which is what most enterprises care more about. | AI |
Forbes - The AI Revolution: How Predictive, Prescriptive, And Generative AI Are Reshaping Our World | Imagine having a crystal ball that could peer into the future, revealing valuable insights about what's to come. That's essentially what predictive AI does, minus the mystical hocus-pocus. This type of AI uses historical data and machine learning algorithms to forecast future outcomes with remarkable accuracy. | AI |
Geeky Gadgets - Understanding the 2024 State of AI Report : Key Insights and Implications | But it’s not all about technology and numbers; the human element is just as important. Ethical considerations, environmental impacts, and the potential for AI to surpass human intelligence are sparking debates that touch on our deepest values and fears. The report doesn’t shy away from these issues, instead offering insights into how we might address them responsibly. With AI’s role in scientific breakthroughs and creative endeavors expanding, there’s a sense of both excitement and caution. | AI |
By 2025, AI proficiency will be as fundamental as computer literacy is today. The adage that "AI won't replace humans, but humans who use AI will replace those who don't" will become a stark reality. | Tech Jobs | |
AI Business - Gartner Predicts 80% of AI Workforce Will Need Upskilling by 2027 | Gartner analysts found that in the short-term, AI tools will generate modest productivity increases by augmenting existing developer work patterns and tasks. This will be most significant for senior developers in organizations with mature engineering practices. | AI |
The Verge - Agents are the future AI companies promise — and desperately need | Venture capital is pouring into AI agent startups that promise to revolutionize how we interact with technology. Businesses envision a leap in efficiency, with agents handling everything from customer service to data analysis. For individuals, AI companies are pitching a new era of productivity where routine tasks are automated, freeing up time for creative and strategic work. The endgame for true believers is to create AI that is a true partner, not just a tool. | AI |
ZDNET - AI anxiety afflicts 90% of consumers and businesses - see what worries them most | Amid the changing threat landscape, 70% say their organizations are tweaking how they operate, with 40% pointing to governance and regulatory compliance as a key area of change. Another 39% say their cybersecurity strategy has been adapted to the change while 36% cite vendor engagement, according to the surve | AI/Security |
Information Week - AI Is Creating New Forms of Liability. How Can It Be Managed? | The complexity of AI’s machinations leads to the so-called “black box” problem -- it can often be difficult to discern why it made the decisions that it did. Errors can be compounded by the use of inaccurate or incomplete data, which is ultimately traceable to the fallible humans who initially compiled it. And sloppily designed systems also process additional data -- often of a sensitive nature -- after they are implemented. | AI |
Forbes - Four Ways AI Is Overhyped, And How To Find Real Value | Others looking at the relentless hype around new applications point out that some of the cases that we refer to as AI are actually machine learning programs, something, for instance, that is predictive but not really cognitive in a human way. | AI |
Forbes - Microsoft Will Buy OpenAI Within Three Years, Analyst Predicts | OpenAI is pivotal to Microsoft, because its Copilot AI services are largely based on OpenAI’s GPT technology. “It might be that Microsoft sees that there's a strategic importance in owning OpenAI outright and keeping complete control of how the business shapes up in the future,” Wood said. | AI |
AiThority - The Ethical and Privacy Challenges of Using AI Chatbots in Business | As businesses and consumers increasingly rely on chatbots to meet their demands, balancing user experience with the need for data privacy and ethical usage is crucial. AI tools like ChatGPT have redefined communication, but they also bring to light pressing concerns, including data privacy, bias, and job displacement. These issues underline the need for transparency and accountability in the deployment of AI-driven technologies. | AI Chatbot |
The Hacker News - Vulnerable APIs and Bot Attacks Costing Businesses Up to $186 Billion Annually | APIs have become indispensable to modern business operations, enabling seamless communication and data exchange across applications and services. They power everything from mobile applications to eCommerce platforms and open banking. However, their widespread adoption has created significant security challenges. According to data from Imperva Threat Research, the average enterprise managed 613 API endpoints in production last year, and that number is projected to grow as companies rely more heavily on APIs to drive digital transformation and innovation. | Security |
Despite efforts by security teams to manage data risks, many organizations lack clarity on where data is located, how sensitive it is, and who has access to it. Additionally, “shadow data” is often stored without appropriate governance or control from security teams, which is an oversight that exacerbates data exposure and security risks. | Data Management | |
The four-day workweek is gaining momentum, challenging traditional work structures. In 2025, more organizations are expected to adopt this model, which promises enhanced employee well-being, improved work-life balance, and reduced carbon footprints. This shift suggests that concentrated work hours and extended recovery time can maintain or even boost productivity. As adoption grows, we may see a broader reshaping of work-leisure norms across industries. | Tech Trends | |
We believe that the rise of causal AI will play a vital role in enabling new high-ROI use cases within existing AI systems and future AI architectures. Overall, we are confident that integrating agentic AI, causal reasoning and interactive explainability, supported by a network of large language models and small language models, will define the next frontier of AI in business. | AI | |
One of the most common fears about AI is that it will lead to widespread job losses. It’s true that AI can automate certain tasks, but that doesn’t mean it’s going to replace human workers entirely. In reality, AI is more likely to change the nature of work rather than eliminate jobs altogether, and its impact on productivity is truly remarkable. This means that those who choose not to learn how to harness AI in business could get left behind if their industry increases adoption of the tech tool. | AI | |
BusinessChief - Companies Wasting Millions on AI Spending - MIT Professor | The mania continues to build for years, leading companies to make huge redundancies and pump hundreds of billions into AI “without understanding what they’re going to do with it” – only to be left scrambling to try and rehire workers when they realise the emperor has no clothes. | AI |
Diginomica - From AI FOMO to AI FOMU – and what to do about it | My, what a difference a year makes. Although the steady release of capabilities and features has continued, fear of missing out (FOMO) has shifted to fear of messing up (FOMU), as tech vendors and customers try to avoid being the next bad AI headline. Why the sudden shift? | AI |
Data Science Central - A few enterprise takeaways from the AI hardware and edge AI summit 2024 | Much media coverage is focused on LLM behemoths and the data center-related activities of hyperscalers. But what I found much more compelling were the innovations of smaller providers who were trying to boost the performance and utility of edge AI. After all, inferencing is consuming 80 percent of the energy AI demands, and the potential clearly exists to improve efficiencies through better and more pervasive edge processing. | AI/Edge |
Forbes - The Liar's Dividend: How AI Is Reshaping Truth In Business Communications | 1. Be transparent about content creation processes. Additionally, provide clear attribution for sources. You can create transparency in your content-generation processes by sharing details about your generative AI creation process on your company's website and by including disclaimers on copy that has been created with the use of Gen AI. For instance, “This content was created with the assistance of Gen AI tools.” | AI Ethics |
Forbes - The 5 Biggest Business Trends For 2025 Everyone Must Be Ready For Now | 2025 could be the year that this starts to change, as more strategic use cases – involving rethinking business models around the potential of generative AI – begin to come through. Rather than existing products and services with a chatbot bolted on, think of generative tools and applications that enable entirely new possibilities across healthcare, manufacturing, education and many other industries. | Tech Trends |
VentureBeat - How IT leaders can spearhead the charge to transform education | If a primary goal of education is to prepare kids for the future, IT leaders play a more pivotal role than ever. Technology has profoundly impacted work in every industry — and it’s opened up vast new possibilities in new fields, from positions across STEM industries and AI, to esports and beyond. It’s also transformed how students engage with learning, skill development and high-level problem-solving and critical thinking. | Tech Trends |
eWeek - 150 Top AI Companies (2024): Visionaries Driving the AI Revolution | This list of AI companies chronicles this growth by reflecting the dynamic shifts disrupting the tech industry. It covers the full ecosystem of AI vendors: new generative AI companies, entrenched giants, AI purveyors across verticals, and upstart visionaries. There’s no telling which will most influence AI’s future, but we believe that the players on this list as a whole will profoundly reshape technology and, as a direct result, the arts, retail, and the entirety of culture. | AI |
Forbes - 5 Critical AI Legal Issues Every Business Must Navigate | One of the first factors any business needs to assess is its existing IT compatibility with current and future AI systems. This evaluation requires ensuring the AI tech will work within established processes and capital equipment investments. That involves evaluating infrastructures, workflows, data handling procedures and customer interactions that AI would possibly affect. | AI |
Information Week - The Search for Logic and Profit in Google AI Overviews | Google AI Overviews (AIO) is a generative AI-driven feature on Google Search that provides summaries of search results rather than the traditional list of sources. While the jury is still out on whether Google Overviews is a good thing or a bad thing for the tech industry, publishers and SEO practitioners are calling it a double-edged blade that may end up drawing blood from everyone, including Google. | AI Search |
The survey also reveals industrial and regional differences regarding companies’ experience with deepfake threats. For example, audio deepfakes prevail over video ones among the three of the surveyed sectors, including Financial Services (51%), Aviation (52%), and Crypto (55%). At the same time, Law Enforcement (56%), Technology (57%) and FinTech (57%) are reporting more face video scams. | Privacy/Security | |
At the World Economic Forum in January, OpenAI CEO Sam Altman was pointedly reassuring: “I can’t look in your brain to understand why you’re thinking what you’re thinking. But I can ask you to explain your reasoning and decide if that sounds reasonable to me or not. … I think our AI systems will also be able to do the same thing. They’ll be able to explain to us the steps from A to B, and we can decide whether we think those are good steps.” | AI | |
eWeek - Top 75 Generative AI Companies & Startups Innovating In 2024 | The 75 top generative AI companies on our list are the leading pioneers of this generational shift. Some, like OpenAI, have already proven themselves and grown into multi-billion dollar companies, while others are new contenders that have yet to emerge from early rounds of funding | GenAI |
Forbes - How Executives Should Think About AI In 23 Questions | What happens to all of the knowledge workers who lose their jobs and whose careers are permanently changed? This is a core executive issue, though perhaps less important to most executives than the cost reduction and profitability automation generates: who among us would not welcome any technology that saves us money, makes us money and increases our annual bonuses? | AI |
"We mandated very early that any models that we train needed obviously to only take data that we had free use rights on, but we said they also need to have model cards so that if there is a problem with the data source, you can go back, retrain a model without the data source." | AI/Data | |
Network Computing - HP Survey: Concerns About AI in the Workplace | Sixty-six percent of knowledge workers used AI in 2024, up 28 points from 2023. For business leaders, 88% have used AI, a jump of 20 points, while 91% of IT decision-makers have used AI this year, a rise of 28 points. If you look at AI usage by knowledge workers according to their demographic generation, younger workers are the biggest users of AI, while older workers use AI the least. | Automation & Productivity |
The assessment also discovered that people who use chatbots aren’t very good at spotting bad answers, in part because of how well the chatbot creates an answer that looks like a truthful one. Hernández-Orallo added that the result is that users often overestimate the capabilities of chatbots and that’s a problem. | AI | |
Computerworld - How soon will AI PCs replace traditional PCs in the enterprise? | However, “while AI has been a buzzword of late, it has yet to be a purchase driver among PC buyers,” said Jitesh Ubrani, research manager for IDC’s worldwide mobile device trackers division. “Businesses certainly recognize the importance of AI, though many struggle to see the immediate use case and instead are opting for AI PCs as a means to futureproofing.” | Automation & Productivity |
Back to Jono Bacon. “Don’t make me pick [a model],” he demands. “Pick one for me based on my request.” He’s really asking for someone to turn cumbersome, complicated AI infrastructure into applications. We’re starting to see this with Apple Intelligence, Google search, and more. Companies are baking AI into their applications, rather than making users do the undifferentiated heavy lifting of picking the infrastructure and generating the prompts. | AI | |
Data Science Central - (Trying to) Quantify the Economic Impact of GenAI | We have been vocal about my belief that organizations focusing on GenAI-driven productivity improvements rather than GenAI-driven innovation improvements are missing the bigger prize. GenAI tools can create value for an organization, but that increase in value is inconsistent. On one hand, GenAI tools can improve the productivity (efficiency) of below-average workers. On the other hand, they can significantly boost the innovation (effectiveness) of top-performing workers who better understand critical value-creation concepts such as data science, design thinking, and economics. | Automation & Productivity |
TechRepublic - Sending One Email With ChatGPT is the Equivalent of Consuming One Bottle of Water | If one in 10 working Americans (about 16 million people) write a single 100-word email with ChatGPT weekly for a year, the AI will require 435,235,476 liters of water. That number is roughly equivalent to all of the water consumed in Rhode Island over a day and a half. | ChatGPT |
ZDNET - How Apple, Google, and Microsoft can save us from AI deepfakes | As AI-generated content blurs the lines between reality and manipulation, tech giants like Google, Apple, and Microsoft must lead efforts to safeguard content authenticity and integrity. The threat posed by deep fakes is not hypothetical -- it is a rapidly growing concern that demands collaboration, innovation, and rigorous standards. | AI Ethics |
Forbes - 5 Easy Ways To Tell If Written Content Came From Generative AI | Copyleaks was mentioned at the beginning of this write-up, and it claims on its website to be the most accurate AI detector based on multiple independent studies. One feature that makes it stand out from other solutions is that it works in 30 languages. | GenAI |
ZDNET - I've been testing AI image generators for years - and I'm shocked by my new top pick | Want to create images in seconds using just text prompts? Here are the 10 best text-to-image AI tools for bringing whatever you can imagine to life (and most of them are free). | AI/Image |
Computerworld - With genAI models, size matters (and smaller may be better) | SLMs can be built from scratch using open-source AI frameworks, which means an organization can create a highly customizable AI tool for any purpose without having to ask for permission, it can study how the system works and inspect its components, and it can modify the system for any purpose, including to change its output. | AI |
Forbes - The 2024 AI HW Summit: Here’s What Caught My Attention | Inference will become a larger market than training AI, and all three of these companies have demonstrated a massive leap forward in lowering the costs of using AI in real-world applications. Nice job! Now, if you could just publish some MLPerf results, we’d all feel better. AA provides a great service, but does not replace benchmarks run by the hardware providers themselves such as MLPerf, whose benchmarks are all peer-reviewed prior to release. | AI |
eWeek - 6 Best AI Text-to-Speech Software Platforms: Realistic Voices in 2024 | AI voice technology has grown in popularity for content creators of all backgrounds and budgets. This category of generative AI tools provides creative scalability for videos, podcasts, audiobooks, customer service interactions, and a slew of other enterprise use cases that typically require consistent and original voice content. What’s more, this technology is frequently customizable and available in affordable plans, meaning users of all stripes can try it out. | AI/Voice |
Forbes - Will AI Solve The World's Inequality Problem – Or Make It Worse? | One is that access to the technology is already concentrated in the hands of the wealthy. Studies have regularly found that the less well-off often lack access to the digital tools, such as computers and internet access, needed to take advantage of the potentially life-improving benefits of AI. | AI Ethics |
VentureBeat - What does it cost to build a conversational AI? | To help lower the fear factor for those opting to build, I wanted to share some of the internal research my team and I have done in our own search for the best LLM to build our conversational AI. We spent some time looking at the different LLM providers, and how much you should expect to fork out for each one depending on inherent costs and the type of usage you’re expecting from your target audience. | AI |
ZDNET - 10 features Apple Intelligence needs to actually compete with OpenAI and Google | Apple's focus on on-device processing and privacy for Apple Intelligence is its greatest strength and also its biggest limitation. Despite impressive hardware advancements in the iPhone 16 and Apple Silicon's neural engine, Apple Intelligence is still in its infancy, lacking the integration, third-party support, and developer tools needed to compete with its cloud-based rivals. | AI |
According to the report, the early adopters find that the technology’s ability to accelerate data-driven decision-making is a key benefit of implementation (44%), alongside its ability to improve products and services (44%), closely followed by how the technology can improve the quality of business insights (42%). | GenAI | |
Harnessing the full potential of this technology, though, has tended to require significant expertise and resources, putting it out of reach for many companies. That's why democratizing access to generative AI tools and capabilities is critical for widespread adoption and breakthrough innovations. At AWS, we believe that generative AI should be accessible to all. | GenAI | |
An astonishing 88% of organizations are actively investigating generative AI, far outstripping other AI applications such as prediction models (61%), classification (51%), expert systems (39%) and robotics (30%). | AI | |
Information Week - Forrester CEO: Lessons for Executives to Implement AI Successfully | “We looked at it and realized, oh, this is only running at 65% accuracy -- not good enough for our clients,” Colony said. “So, the early part is euphoria, but then the hard work sets in. It took us about 12 months to move from 65% accuracy to 85% ... So, when you develop, it’s going to look easy at first, and then it’s going to get really, really, hard.” | AI |
Computerworld - Will potential security gaps derail Microsoft’s Copilot? | However, there are security gaps enterprises could easily miss. Fioravanti warns that risky Copilot configuration settings could be enabled by default. These settings can give Copilot “access to sensitive data without appropriate safeguards in place. Default settings could allow Copilot to interact with external plugins and access web content, introducing new attack surfaces.” | Data Management |
eWeek - What Is AI? An Artificial Intelligence Guide For Beginners | Emerging AI trends include multimodal AI, which generates diverse data types for better understanding; agentic AI, which focuses on Autonomous systems; and retrieval-augmentation (RAG), which combines AI content with real-time information. | AI |
Information Week - How AI Impacts Sustainability Opportunities and Risks | Just four in 10 organizations reported having the ability to automatically source sustainability data from systems such as ERPs, CRMs, and enterprise asset management systems, according to the 2023 IBM report Beyond Checking the Box. | AI |
TechStartups - Investing in AI after ChatGPT: How the Venture Capital Landscape Is Changing | A recent Statista study found that while $200 billion was invested in AI in 2023, the figure is expected to grow beyond the $1.8 trillion mark as soon as 2030. This is approaching an order-of-magnitude shift in less than a decade, something that is typically only seen in startup-driven tech spaces. | AI |
VentureBeat - AI orchestration: Crafting harmony or creating dependency? | However, the line between conducting a harmonious symphony and falling into discord can be perilously thin. As we conduct this AI symphony it is worth asking — are we truly in control, or are we becoming overly reliant on the very tools we orchestrate? | AI |
Forbes - 10 Amazing Things You Can Do With Apple Intelligence On Your IPhone | Whether you're drafting a crucial business proposal or composing a compelling LinkedIn post, Apple Intelligence has you covered. The new system-wide writing tools can help you refine your language, suggest improvements, and even adapt your writing style to different audiences. Need to transform a casual email into a formal business communication? Apple Intelligence can do that with a single tap, ensuring your message hits the right note every time. | Automation & Productivity |
eWeek - The Future of Generative AI (2024): 8 Predictions to Watch | Multimodality—the idea that a generative AI tool is designed to accept inputs and generate outputs in multiple formats—is starting to become a top priority for consumers, and AI vendors are taking notice. OpenAI was one of the first vendors to provide multimodal model access to users through GPT-4, and Google’s Gemini and Anthropic’s Claude 3 followed suit. So far though, most AI companies have not made multimodal models publicly available; even many who now offer multimodal models have significant limitations on possible inputs and outputs. | GenAI |
Forbes - Agentic AI: The Next Big Breakthrough That's Transforming Business And Technology | Agentic AI goes beyond traditional AI by incorporating a "chaining" capability. This means it can take a sequence of actions in response to a single request, breaking down complex tasks into smaller, manageable steps. For example, when asked to create a website, an agentic AI system would autonomously generate a series of goals: | AI |
VentureBeat - Is AI the future of sales? Salesforce’s new models could change the game | The xGen-Sales model is designed to automate complex sales tasks with high accuracy and speed. Salesforce has tailored this model for industry-specific needs, allowing it to deliver more precise responses, generate customer insights, enrich contact lists, summarize calls, and track sales pipelines—all without human intervention. | Marketing/Sales |
Forbes - The State Of The AI Super Cycle - NVIDIA, Apple, And The Overall Demand For AI | Then there is a collection of companies just trying to find their place in the AI race. We know the AI device (handsets and PCs) cycle has been a bit slower and that incremental growth of SaaS from AI is showing signs of life from the likes of ServiceNow Inc., Salesforce Inc., and CrowdStrike Inc., who are proving AI can provide stickiness and drive growth on the top and bottom lines. Things have only just begun here. | AI |
In other words, AI is one of the major driving forces behind the increasing need for "more." The collateral damage of that will be consumers having to pay a higher price for devices -- all for something the majority of us probably won't use. | Automation & Productivity | |
AiThority - What is Return on AI – and How Do Companies Measure It | To achieve RoAI, leaders need to look past the feel-good factor of employing the latest AI technologies, and instead shift toward quantifiable results that directly tie into the strategic goals of the business. The measurable aspects of RoAI can range from direct financial gains, such as revenue growth and cost reduction, to efficiency metrics like speed of service delivery and the number of tasks automated. These metrics provide concrete data to gauge the effectiveness of AI investments. | AI |
It goes beyond following externally imposed ethical guidelines. It represents a self-regulating quality embedded within the AI system itself. Artificial Integrity is about incorporating ethical principles into AI design to guide its functioning and outcomes, much like how human integrity guides behavior and impact even without external oversight, to mobilize intelligence for good. | AI Ethics | |
Diginomica - Why Decision Intelligence is reaching its stride, according to Aera CEO Fred Laluyaux | Also, the data needed to be organized to help understand decisions and measure their success. Aera developed a decision data model containing financial and operational metrics and the decision data. It provides a permanent memory of the decisions made on a given specific problem, such as inventory optimization, order management, logistics, transportation, and procurement, stored in a particular way. These are intertwined and logically structured with the operational and financial data. | Data Analytics |
VentureBeat - Cohere just made Command R smarter. Here’s why businesses should care | While consumer-facing AI products grab headlines, the real battleground for sustainable AI business models may lie in the enterprise sector. By tailoring its offerings to the specific needs of businesses, Cohere is betting on the premise that corporations will pay a premium for AI solutions that can be seamlessly integrated into their existing workflows and security protocols. This approach could potentially yield higher margins and more stable revenue streams compared to the volatile consumer market. | AI |
eWeek - 7 Best AI Video Generators (2024) for Stunning Results | Synthesia is a leading generative AI startup that helps users transform text scripts and instructions into videos. The solution is particularly well-known for its AI avatars. You can choose from more than 230 AI avatars or create your own and generate audio in more than 140 languages and voices. Additionally, you have the option to customize backgrounds and branding colors, add soundtrack music and other audio elements, and insert markers to create simple animations. | AI Video |
VentureBeat - AI is growing faster than companies can secure it, warn industry leaders | Clinton warned that this rapid growth is pushing AI capabilities into uncharted territory, where today’s safeguards may quickly become obsolete. “If you plan for the models and the chatbots that exist today, and you’re not planning for agents and sub-agent architectures and prompt caching environments, and all of the things emerging on the leading edge, you’re going to be so far behind, | AI |
eWeek - GitHub Copilot vs ChatGPT (2024): A Detailed Analysis | GitHub Copilot and ChatGPT are two of the top artificial intelligence tools helping drive the massive growth in AI adoption. Both are powered by advanced models from OpenAI, but they serve distinct purposes—GitHub Copilot is primarily a coding assistant, while ChatGPT serves as a versatile conversational AI chatbot and information source. When it comes to Copilot vs ChatGPT, understanding their strengths and weaknesses will help you determine which tool better suits your needs. | AI |
Diginomica - There will never be enough data to satisfy AI, so why not pool it? | Underpinning all of those issues is one key problem: data and that is the subject of the Paper. For a start, with gen AI services there will never be too much data, and ideally each use of even a well-established and widely-used model will be said to need its own data, just to be as sure as possible of the results delivered. | AI/Data |
Additionally, the report found that the economic impact of APIs in the U.S. is expected to reach $3.4 trillion by 2030 with the global impact reaching $17.3 trillion. In the same timeframe, the value of APIs to enable AI is expected to grow 170%, highlighting the need to have a strong API strategy in place for future innovation. | AI | |
ZDNET - Should you use AI to build your resume? 64% of hiring professionals approve | Before you use AI to write your resume, it is worth noting that 13% of hiring professionals said they would automatically disqualify a resume written with AI. However, for better or for worse, there is no reliable AI checker on the market right now, so as long as you double-check for plagiarism, a hiring professional shouldn't be able to tell. | AI |
The cost of training Gemini, which is a large language model that can be inputted with text, voice commands and images, reportedly stood between $30 and $191 million even before taking staff salaries into consideration. According to Epoch AI, these can make up 29% to 49% of the final price. | AI | |
Information Week - Artificial General Intelligence in 2025: Good Luck With That | “That’s a huge gap that needs to be closed before we can start creating an AI that can do what every human can do. And a hallmark of human thinking, which AGI will attempt to replicate, is being able to explain the rationale for coming up with a solution to a problem or an answer to a question. We’re still trying to keep existing LLMs from hallucinating.” | AGI |
Elai's AI excels at transforming text-based content into dynamic videos with minimal effort, making it a great fit for corporate training, marketing teams, and educators who need to create content quickly and at scale. But it’s not perfect. Find out whether it's right for your needs in our detailed review. | Video | |
Data sovereignty and security are paramount; enterprises need robust governance to prevent unauthorized AI deployments, ensure compliance, and prevent shadow AI issues. Staying on top of market trends and collaborating with AI experts will help enterprises adapt to technological shifts and refine strategies as needed. | AI | |
ZDNET - AI voice generators: What they can do and how they work | Can you tell a human from a bot? In one survey, AI voice services creator Podcastle found that two out of three people incorrectly guessed whether a voice was human or AI-generated. That means that AI voices are becoming harder and harder to distinguish from the voices of real people. | AI |
Information Week - Is OpenAI Quietly Building a Media Content Empire? | “Over the last decade, news and digital media have faced steep challenges as many technology companies eroded publishers’ ability to monetize content, most recently with traditional search,” Condé Nast CEO Roger Lynch told employees in a memo. “Our partnership with OpenAI begins to make up for some of that revenue, allowing us to continue to protect and invest in our journalism and creative endeavors.” | AI Media |
I wish generative AI (genAI) tools were truly useful. They’re not. I keep tinkering with the programs — ChatGPT, Meta AI, Gemini, etc., etc. Mind you, they look useful if you don’t know any better. Their answers sound plausible. But if you look closer, even if you forgive them for their hallucinations — that is, lies — you’ll see all too often that the answers they give are wrong. | AI | |
Information Week - The Deeper Issues Surrounding Data Privacy | Corporate legal departments will continue to draft voluminous agreement contracts packed with fine print provisions and disclaimers. CIOs can’t avoid this, but they can make a case to clearly present to users of websites and services how and under what conditions data is collected and shared. Many companies are doing this—and are also providing "Opt Out" mechanisms for users who are uncomfortable with the corporate data privacy policy. | Data Privacy |
This year’s data found that companies reported high engagement and investment in Gen AI, Gen AI security solutions and AI models that improve customer decisions. With that said, businesses recognize the challenges of Gen AI with 70% of businesses saying that AI fraud is expected to be the second greatest challenge for their business. In fact, Tier 1 businesses listed Gen AI fraud as their top stress point. | Privacy/Security | |
The volume of sensitive data that companies are harbouring in non-production environments, like development, testing, analytics, and AI/ML, is rising, according to a new report. Executives are also getting more concerned about protecting it — and feeding it into new AI products is not helping. | Data Management | |
VentureBeat - Deloitte survey reveals enterprise generative AI production deployment challenges | The new report paints a picture of organizations striving to capitalize on gen AI’s potential while grappling with issues of scalability, data management, risk mitigation and value measurement. It highlights a critical juncture where early successes are driving increased investments, but the path to widespread implementation remains fraught with obstacles. | AI |
Information Week - 3 Ways Organizations Can Measure and Monitor the Impact of AI | Teams should track three key metrics to gauge AI’s benefits and impact: technical debt, policy adherence, and security exposure. This way, organizations can demonstrate the value of these tools to boards, investors, and customers. | AI |
Computerworld - IDC: Expect AI spending to more than double to $632B | The financial services industry is expected to spend the most on technology, with banking leading the way; financial services will account for more than 20% of all AI spending, followed by software and information services and retail. Combined, those three industries will account for roughly 45% of all AI spending during the period. | AI |
ZDNET - I've tested dozens of AI chatbots since ChatGPT's stunning debut. Here's my top pick | In May 2024, OpenAI supercharged the free version of ChatGPT, solving its biggest pain points and lapping other AI chatbots on the market. For that reason, ChatGPT moved to the top of the list, making it the best AI chatbot available now. Keep reading to discover why and how it compares to Copilot, You.com, Perplexity, and more. | Automation & Productivity |
VentureBeat - The economics of GPUs: How to train your AI model without going broke | By using techniques like mixed precision training, activation checkpointing, and multi-GPU usage, even small and medium-sized enterprises can make significant progress in AI training, both in model fine-tuning and creation. These tools enhance computational efficiency, reduce runtime and lower overall costs | AI |
Forbes - Where Will Artificial Intelligence Take Us In The Future? | Quantum computing is in its infancy today but can already complete some computational tasks up to 100 million times faster than “classical” computing. In the future, it will be possible to use it to power AI algorithms, supercharging their ability to process huge datasets and solve complex problems like optimization and cryptography. | AI |
Information Week - Keep Processes Flowing with Value Stream Management | “My advice is to plan your project meticulously, remain objective during documentation, ask more questions than you answer, and develop an extensive training program to mitigate job and role insecurity. Be patient and persistent, and leverage technology to complement your processes,” says Russo. | Automation & Productivity |
ZDNET - AI governance and clear roadmap lacking across enterprise adoption | Many also lack a comprehensive AI strategy and are acquiring products primarily for their bells and whistles, according to IBM's AI Readiness Barometer Study released this week. Just 17% of companies assessed in the report have a well-defined AI strategy, with the majority, 38%, still in the midst of developing an AI strategy. Another 30% have an AI strategy that is focused on specific use cases, while 7% admitted to having an AI strategy they eventually discarded or were unable to implement effectively. | AI |
Information Week - AI’s Two Faces: Unlock Innovation but Manage Shadow AI | AI might feel intimidating, but it’s not necessary to reinvent the wheel. If we look more closely, AI risk resembles many familiar risks we already have processes and policies in place to mitigate that risk, including data governance, identity and access management, and data loss prevention. | AI |
MSN - The Wall Street Journal - Why AI Risks Are Keeping Board Members Up at Night | Board members, or directors, sit a level above management. Their job is to take a more independent view of company oversight, from risk management to culture to hiring the next CEO. Emerging technologies have been both a boon and headache for companies. Now that AI is front and center, board members are on the front lines of making rules on where and how it should be used—guidelines that could be crucial to the course of the powerful and fast-evolving technology. | AI |
ZDNET - AI risks are everywhere - and now MIT is adding them all to one database | To address this, researchers at MIT worked with colleagues from other institutions, including the University of Queensland, Future of Life Institute, KU Leuven, and Harmony Intelligence, to create the database. The Repository aims to provide "an accessible overview of the AI risk landscape," according to the site, and act as a universal frame of reference that anyone from researchers and developers to businesses and policymakers can use. | AI |
Information Week - Did GenAI Expectations Just Crash Into Cold Economic Reality? | Even companies undergoing massive cost cutting efforts aren’t shying away from AI spending. Dell Technologies will slash its workforce (by a reported 10% or 12,500 people this week alone), as it seeks to retool its business to meet AI demand. In an internal memo seen by Bloomberg, Dell said it was creating a “leaner” organization and building “a new group focused on artificial intelligence products and services.” While announcing 15,000 in layoffs, Intel Corp. says it intends to march forward with its ambitious IDM 2.0 chip manufacturing plans. | AI |
It’s unclear how many enterprises have fully deployed generative AI into their workflows and how much it’s improved productivity. However, AI innovation and knowledge about the technology have matured, and enterprises have begun asking if investing in AI is worth it rather than running for the next shiny thing. | AI | |
“It isn’t clear how private your private instance is. At Microsoft, probably in good shape. Ideally you would host your own LLM behind your firewall if you want to be absolutely certain that the data would never be shared even by accident by the AI,” says Kevin Surace, chair of Token, father of the Virtual Assistant, and a frequent speaker on AI. | AI/Security | |
VentureBeat - Survey: 84% of tech execs back copyright law overhaul for AI era | “The speed at which companies — big and small — are rolling out generative AI tools and technology has accelerated and forced the industry to not only redefine what ‘fair use’ means but retroactively apply a centuries old U.S. copyright law to 21st century technology and tools.” | AI |
ZDNet - Your board needs no-nonsense AI leadership - these experts explain why | Employees recognize the transformative impact of AI on their careers, but their employers are largely falling behind in empowering them for success. Fifty-six percent of desk workers believe generative AI will transform their roles, but only 21% say their company has provided clear policies around its use. | AI |
Forbes - Avoiding The FOMO Trap: Strategic Integration Of AI And Cybersecurity | First, I believe CISOs must avoid repeating historical situations where cybersecurity was seen as at odds with business needs and the CISO simply as the "person who says no." Opposing the AI tidal wave we are currently seeing—on any ground, valid or not—will likely not be heard. | AI/Security |
ZDNet - AI agents are the 'next frontier' and will change our working lives forever | The next stage of generative AI is likely to be even "more transformative", Yee and her colleagues suggested. "We are beginning an evolution from knowledge-based, gen-AI-powered tools -- say, chatbots that answer questions and generate content -- to gen AI-enabled agents that use foundation models to execute complex, multistep workflows across a digital world. In short, the technology is moving from thought to action." | AI |
VentureBeat - OpenAI’s meltdown: Inside the summer that could redefine artificial intelligence | Yet the most existential threat to OpenAI comes from its competitors. Google, long-derided as an AI also-ran, has roared back into contention with its latest Gemini models released just one week ago. | AI |
ZDNet - Today's challenge: Working around AI's fuzzy returns and questionable accuracy | For starters, there isn't enough measurement or awareness of the potential gains AI is delivering, Malik said. Decision-makers "want to be sure that all the information that they will use internally, or for interacting with customers, is accurate," he said. "How will companies measure the accuracy of what AI is doing? So AI did something, how do you always know it's accurate? How can you trust it 100%?" | AI |
Additionally, Microsoft's revamp of Bing with ChatGPT technology was seen as a strategic move to challenge Google's search dominance. However, OpenAI's subsequent launch of ChatGPT plugins, including a web browsing capability, also positions it as a potential competitor in the search space – an area Microsoft has long struggled to dominate. | AI | |
In gen AI, that transition to Act 2 is just getting underway. We can’t point to four or five life-changing applications — yet. Reality has not caught up to the hype — yet. Why is that? Quite simply, it’s because Act 2 is really hard. In any segment of the technology industry, building a sustainable, scalable business requires years of heavy lifting. But in gen AI, with its higher profile and higher stakes, that work will be exponentially more challenging | AI | |
Generative AI has the potential to revolutionize various aspects of our lives, but its integration must be guided by ethical principles. Through responsible development and deployment, we can shape a future where AI enhances human potential, upholds accuracy, and fosters trust. The decisions we make today will determine the trajectory of AI’s impact on our world, and it is our collective responsibility to ensure that this impact is positive and inclusive. | AI | |
VentureBeat - How Microsoft is turning AI skeptics into AI power users | What they found is that there was a growing body of evidence, both Microsoft-sourced as well as customer and third-party academic research, all saying a very similar thing: These tools do save knowledge workers anywhere from 20 to 40%. But at the same time, customers were saying they wanted more — they wanted to use these tools to fundamentally change the shape of the business, with metrics centered on real business value. | AI |
Forbes - Beyond The Metaverse: Top Immersive Internet Trends For The Next Decade | Over the next decade, we are only going to see the internet get more immersive and capable of filling more of our day-to-day needs. Whether that be working, relaxing, playing, shopping or socializing with friends. By 2035, the concept of “being offline” probably won’t mean a lot. Even if we aren’t staring at a screen (an interface that’s becoming less common), we’re interacting with virtual and online environments through data flowing to us via a myriad of devices, possibly even including chips implanted into our brains. | Tech Trends |
One of the most significant ways threat actors exploit AI is in social engineering. They exploit human psychology and vulnerabilities like trust, fear, and authority. Generative AI models like ChatGPT can produce highly convincing phishing emails and websites, mimicking legitimate individuals’ or organizations’ communication styles and tones. | AI/Security | |
Forbes - AI Around The Globe: How Other Nations Are Ahead Of The AI Curve | Although the U.S. remains a hub for tech innovation, countries around the world are rapidly advancing in the field of AI, aiming to enhance the quality of life for their citizens through the development of smart cities, modern workplaces and connected homes. Egypt, Taiwan and the Philippines are all noteworthy examples of nations making significant strides in AI deployment | AI |
Diginomica - Is generative AI project success in 2024 a realistic goal? A mid-year reassessment | The AI dissonance factor kicks in - we're now running into a troubling issue I call AI dissonance, where research on generative AI adoption boomerangs from optimistic to cautious (the cautions trace back to concerns on security, data privacy, and trust). Therefore, you can cherry pick an AI study to bolster any AI narrative you want, from 'immature technology' to 'enterprise game changer,' so that doesn't help us much. | AI |
Forbes - The Internet Isn’t Big Enough To Train AI. One Fix? Fake Data. | Artificial intelligence, specifically the large language models that power it, is a voracious consumer of data. But that data is finite and it is running out. Companies have mined everything in their efforts to train ever more powerful AIs: YouTube video transcripts and subtitles, public Facebook and Instagram posts, copyrighted books and news articles — sometimes without permission, sometimes with licensing deals. | AI |
Analytics Insight - Top Artificial Intelligence Trends to Watch in 2025 | Artificial intelligence will soon take over the healthcare sector at a seriously rapid rate. Among the various ways in which artificial intelligence is going to change healthcare, there will be AI-powered diagnosis tools, personalized medicine, and robotic surgery. In the year 2025, AI is likely to provide quality care to patients through enhanced accuracy in diagnosis, prognostication of disease, and treatment with tailor-made prescription packages. | AI |
VentureBeat - Capgemini digs into the real reasons that gen AI proof of concepts rarely take off | According to recent Capegemini research, the vast majority of people in every sector they’ve surveyed have said they have a massive problem turning AI proof of concepts into production solutions. And the reason behind the lag is digital boundaries, digital employees and bad data, | AI |
This will be the easiest thing you ever do and the hardest thing you ever do. Getting your model up and running won’t take long — six to eight weeks, depending on how clever your programmers are and how much infrastructure (e.g., AWS) you have in place. But that model won’t be dependable; its output accuracy will be in the 60% range — not good enough for your customers or users. | AI | |
Information Week - How, When, and Why to Hire a Chief AI Officer | For example, an organization could have a CAIO report to a CIO with political capital and AI knowledge to better arm the CIO with ideas and innovations to disrupt current methods being used in the IT teams. | AI |
Among the 95% of senior leaders who report that their organizations are currently investing in AI, the number of companies investing $10 million or more in the technology is set to nearly double next year to 30%, up from 16% currently investing at that level. However, despite the forecasted investment boom, the survey also found that many leaders are ignoring the foundational functions AI needs to thrive. | AI | |
The central thesis is clear: technical and business knowledge must merge as "operational or organizational" knowledge to effectively bridge the digital information gap between cyber pros, CEOs, and other business stakeholders, to effectively mitigate cybersecurity risks to the organization. For IT professionals to be effective, they must understand the intricacies of business operations. | Security | |
Forbes - Tech Trends For The Second Half Of 2024: What Stays And What Goes | This trend aligns with the growing popularity of no-code and low-code development platforms, which aim to democratize complex technologies such as AI, machine learning and the Internet of Things by providing user-friendly interfaces and drag-and-drop tools. Traditionally, developing applications that leverage these advanced technologies required extensive programming knowledge, but no-code and low-code platforms can enable more rapid prototyping and accelerated solution deployment, even for non-technical users. | Tech Trends |
Forbes - Are Business Leaders Ready For AI? Here’s How To Tell | As someone at the forefront of AI commercialization, I can assure you: AI is here to empower your workforce, not replace it. Similar to past technological advancements, AI will complement human capabilities if it’s understood what it is you want to do with it. Take office work, for instance. AI can act as a powerful drafting and summarization tool, but its true value lies in its ability to identify patterns and insights beyond human perception. This fosters new perspectives and problem-solving approaches. | AI |
However, this excitement is tempered by more than a third (36%) of executives who raised concerns that there is an extreme danger of enterprise resources – which could be better deployed elsewhere – being diverted toward Gen AI. | AI | |
Dropping artificial intelligence into an organization requires more than a working knowledge of AI -- this is only the first step. A recent survey shows most organizations and their IT departments -- especially managers and executives who control the resources to move things forward -- simply aren't ready to handle AI yet. Plus, the skills, tools, and solutions needed aren't in place yet. | AI | |
VentureBeat - 4 considerations to help organizations implement an AI code of conducts | An AI code of conduct should first outline the steps that employees need to complete before they can procure or begin using any new tools. Many organizations consider reinventing the wheel to accommodate AI tools, but this creates a significant amount of unnecessary work. Instead, they should subject any AI tool to the same rigorous procurement process that applies to any product that concerns data security. | AI |
Computerworld - Copilot for Microsoft 365 deep dive: Productivity at a steep price | Now the genAI frontrunner, Microsoft is building Copilot into its full product line. There’s a free version of Copilot in Windows and in the Edge browser. There’s a paid Copilot Pro subscription for individuals. There’s a Copilot for Security, a Copilot for Sales, a Copilot for Finance, and many more. | Automation & Productivity |
VentureBeat - Enterprises embrace generative AI, but challenges remain | It is not clear how pouring money into generative AI is affecting departments that could have otherwise benefitted from the budget, and the return on investment (ROI) for these expenditures remains unclear. But there’s optimism that the added value will eventually justify the costs as there seems to be no slowing in the advances of large language models (LLMs) and other generative models. | AI |
Computerworld - Copilot+ AI PCs are finally here. You don’t want one — yet | These machines have other issues, too. One of the most head-scratching ones is that the Copilot app on Copilot+ PCs appears to be less powerful than the app on traditional PCs. On Copilot+ PCs, Copilot runs as a traditional Windows app rather than as a sidebar pane, as it now normally does on traditional PCs. So, you can resize it, move it around the screen, and do anything with it that you can do with any window. | Automation & Productivity |
VentureBeat - In the age of AI, the role of the CAIO will be indispensable (and here’s why) | It’s been six months since I became vice chair of AI and digital innovation at KPMG U.S., our version of the latest C-suite role emerging: The chief AI officer (CAIO). The past six months have been marked by successes and hurdles, but one thing that my experience has confirmed: An empowered, accountable leader in the C-suite is critical to pursue bold, fast and responsible AI. | AI |
AiThority - AI-Driven Project Management Sees 90 Percent Positive ROI Among Users | AI tools are being used by 54% of project managers to predict potential project risks and suggest mitigation strategies. For example, AI can analyze historical data to identify variables that have previously delivered late or over budget, enabling project managers to adjust their plans proactively and in real time. | Automation & Productivity |
Information Week - Face Facts: Are Biometrics Key to Deleting Passwords for Good? | Facial recognition strikes many of us as a future-is-now sort of technology -- something out of a sci-fi film like Minority Report. But the rudimentary use of images and other recordings of human characteristics to identify people dates to thousands of years ago. It is believed that fingerprints and sometimes handprints may have been used to sign documents in ancient China and Babylon. | Data Privacy |
“A second theme I find is companies that focus on spending the time to understand experience, as felt by the customer, or the employee, whatever it is that they're trying to change. The third element is the partnership between the business and the technology organization in terms of execution tends to be another critical factor for success.” | Digital Transformation | |
Furthermore, Anthropic stole the crown from OpenAI for the most powerful AI model in the world (according to third-party benchmarks) with the release of its new Claude 3.5 Sonnet model, that some power users are already likening to showing “sparks of AGI.” | AI | |
ZDNet - Generative AI's biggest challenge is showing the ROI - here's why | Investments that need to be made include testing and monitoring the LLMs put into production. Testing in particular is essential to keep LLMs accurate and on track. "You want to be a little bit evil to test these models," Jones advised. For example, in the testing phase, developers, designers, or QA experts should intentionally "poison" their LLMs to see how well they handle erroneous information. | AI |
Forbes - 18 Essential Productivity Tools Recommended By Tech Experts | As a remote worker in tech, I love Miro because it allows collaboration and brainstorming. One of its unique features is the ability to create a virtual interactive whiteboard where teams can literally work out new ideas or approach potential problems, all in real time. Using visuals allows everyone to understand the issue, potential solutions and people’s reactions. - Parul Batra, neuro42 | Automation & Productivity |
ZDNet - 81% of workers using AI are more productive. Here's how to implement it | Another finding shows AI could help desk workers minimize wasted time on busy work. People spend a third of their day on tasks that are "not meaningful to their job," the survey reports, such as unnecessary meetings, low-value emails, and excessive paperwork or data entry. | Automation & Productivity |
Forbes - Emerging Tech Trends CEOs And CTOs Can't Ignore In 2024 | Quantum computers optimize logistics, manufacturing and service management, potentially saving industries billions of dollars annually. The ability to solve these problems much more efficiently is one of the most immediate benefits of quantum computing, making it a critical investment area for businesses looking to enhance operational efficiencies. | Emerging Tech |
“If you are a cloud software company and you’re not making an attempt to incorporate this technology into your product, you’ve actually got a real problem because somebody out there is, and they’re going to come for you.” | AI | |
ZDNet - How AI lies, cheats, and grovels to succeed - and what we need to do about it | But it may come as a shock to learn that an exhaustive survey of various studies, published by the journal Patterns, examined the behavior of various types of AI and alarmingly concluded that yes, in fact, AI systems are intentionally deceitful and will stop at nothing to achieve their objectives. | AI Ethics |
SiliconANGLE - Bessemer’s latest State of Cloud report predicts AI’s world domination | Bessemer predicts that the battle for AI foundational model dominance will intensify in the coming years, since it represents a critical “land grab” that will determine which of the big tech companies reigns supreme within the wider cloud computing market. It believes that, ultimately, closed-source LLMs such as OpenAI’s GPT models will drive the bulk of LLM compute cycles, and that their developers will ultimately be the biggest beneficiaries of this trend. | AI/Cloud |
ZDNet - 3 ways to help your staff use generative AI confidently and productively | Having a CEO who sees the potential power of emerging technology is an important starting point. However, reaping the benefits of AI depends on employees embracing the tools. So what's the best way to help staff -- who might be fearful of generative AI's impact -- to use the tech to boost productivity? | AI |
AiThority - LLM vs Generative AI – Who Will Emerge as the Supreme Creative Genius? | LLM’s future research focuses on addressing biases, enhancing creativity, and integrating with other AI disciplines to create more comprehensive language models. GenAI developments aim to improve the quality and diversity of generated content, explore new creative applications, and foster interdisciplinary collaboration for holistic AI systems. | AI |
Forbes - From Automation To Augmentation: The Evolution Of HR Tech | The results were transformative. Not only did employees feel more valued and supported in their career development, but the company also saw a marked increase in productivity and job satisfaction. This project underscored a crucial lesson: When technology is used to empower employees rather than just manage them, the benefits are significant and far-reaching. | Automation & Productivity |
Information Week - Quick Study: Artificial Intelligence Ethics and Bias | While Watson's initial use of THINK was to inspire his salespeople to consider new customer opportunities, today's use of the slogan could focus on how to do AI in a responsible, safe and secure way. AI is about more than rolling out an app that offers a business quick revenue from low-hanging fruit. It can offer long-term benefits, too. But neither should be at the expense of doing harm to the organization, the employee base or segments of the population. | AI Ethics |
Computerworld - Apple’s cautious AI strategy is absolutely right | Apple appears to be approaching AI with caution. Cautious, you might call it, but I actually think this strategy is the right one, and it aligns with what I called for earlier: AI that integrates seamlessly and easily into solutions we already know and use. | AI |
VentureBeat - When to ignore — and believe — the AI hype cycle | One factor that clearly contributed to the buildup is the human tendency to overestimate change in the near versus long-term. We’ve already seen backpedaling in predictions around AI replacing jobs. For example, in 2020, the World Economic Forum predicted that AI would replace 85 million jobs worldwide by 2025. But their most recent report notes that AI is expected to be a net job creator. | AI |
ZDNet - From AI trainers to ethicists: AI may obsolete some jobs but generate new ones | "Understanding how to implement trusted AI, including building solutions that are ethical, explainable, de-biased, stable and legally compliant will be important as LLMs and generative technologies become more integrated into critical business processes." | Tech Jobs |
Forbes - Why Microsoft, OpenAI, And Apple Likely Will Not Dominate Generative AI | However, that is not possible because no single company excels at all the business activities needed — such as providing cloud services, building LLMs, designing powerful AI chips, and creating high-payoff generative application — to become the market-leading provider of AI chatbots. | AI |
We evaluated the best generative AI chatbots on the market to see how they compare on cost, feature set, ease of use, quality of output, and support to help you determine the best bot for your business. Here are our picks for the top 21 generative AI chatbots for 2024. | Chatbots | |
ZDNet - ChatGPT vs. Microsoft Copilot vs. Gemini: Which is the best AI chatbot? | GPT-4o is a new multimodal model available to free and paying ChatGPT users. Rather than relying on three separate models to power its features -- GPT-4 for text, DALL-E 3 for images, and Whisper for voice -- ChatGPT now uses GPT-4o to process and generate text, images, and sounds. This makes it faster than GPT-4 for paying ChatGPT subscribers, and just as good for ChatGPT users who don't want to pay. | Automation & Productivity |
Although the use of generative AI is on the rise, the most common use cases often serve less strategic functions. The most common use cases that respondents say they’ve already deployed include copilots and other employee productivity tools (in use by 40% of respondents) and customer service tools such as chatbots (36%). Tools for workflow automation (36%) were named the highest priority AI use case, however. | AI | |
Information Week - What Is the Future of AI-Driven Employee Monitoring? | AI can be used to sift through data to identify work patterns and measure employee performance against productivity metrics. “Fundamentally, the sector is about analytics and being able to process more data and understand patterns more quickly and make intelligent recommendations,” | Automation & Productivity |
VentureBeat - AI vs humans: Why soft skills are your secret weapon | AI should be viewed as a partner that can often perceive, comprehend and analyze information much faster and more efficiently than humans. However, leadership, strategic management, interpersonal communication and other soft skills will continue to be exclusive human strengths. | Automation & Poductivity |
Information Week - Are Hyper-Personalization and an Individual's Control of Data at Odds? | Invest in privacy-enhancing technologies (PETs): Technologies like federated learning, differential privacy, and homomorphic encryption can enable data analysis and personalization without compromising user privacy. | Data Privacy |
Supply chain, food industry, chatbot, content, and image generation are some of the tech areas that are seeing fast growth in AI. Critics of AI art systems like OpenAI’s Dall-E said that they were stealing people’s intellectual property on a big scale, which brought AI-generated artworks into the spotlight. Artificial intelligence has many people concerned that it may one day replace human artists and illustrators. | Content Management | |
Information Week - AWS, Anthropic, and the DTCC Talk the Labors of Responsible AI | “We launched a massive survey across the DTCC; we did a bunch of internal research, external research, surveys, and so on,” she said. “We came up with about 400 use cases and had to sift through all of them.” After combing through those use cases, they were gauged against such criteria as feasibility, then winnowed down further to what she called a few powerful use cases. | AI |
CIO - Don’t fall into the AI buzzwords trap when evaluating vendors | Other AI buzzwords are just sloppy analogies. Again, there’s something about the analogy that’s useful and true, and other parts that aren’t, but you’re left to guess which is which. Assistant, agent, and copilot are good examples. A real copilot is a full replacement for a human pilot. If the pilot dies, the copilot can take over completely. That’s absolutely not true for AI copilots. | AI |
MarketWatch - Opinion: Big Tech’s ‘fake-it-till-you-make-it’ hype is now infecting AI | The fundamental problem with ChatGPT and other large language models (LLMs) is that they do not understand what words mean. They are very much like a young savant who can recite every word in all six volumes of the History of the Decline and Fall of the Roman Empire without comprehending any of the content. Without such comprehension, LLMs are not going to morph into artificial general intelligence (AGI) — the ability to perform any intellectual task that human beings can do. | AI |
Computerworld - With Recall, Microsoft is reinventing Google products from 2008 | Remember Google Chrome 1.0? While Chrome is the most popular web browser on Windows PCs today, it was a quirky tool with an unusual interface when it launched back in 2008. The initial version had one long-forgotten (and long-ago-removed) feature when it launched: it could search your entire web browsing history. | Emerging Tech |
ITPro Today - Digital Twins — Redefining the Ways Industries Work | A digital twin is a virtual representation of an object or system designed to replicate a physical object precisely. In other words, a digital twin serves as a proxy for the current condition of anything it represents, via the exchange of data in real time. Real-time data from digital twin solutions unlock the visibility of current progress or challenges and plans ways to resolve or improve them. | Automation & Productivity |
Computerworld - Within two years, 90% of organizations will suffer a critical tech skills shortage | While it’s no surprise that artificial intelligence (AI) skills are currently the most in-demand skill for most enterprises, IT Operations are a close second. Additionally, a variety of cloud skills, including architecture, data management and storage, and software development, are among the ten most needed skills identified by survey respondents. | Tech Jobs |
VentureBeat - McKinsey: Gen AI adoption rockets, generates value for enterprises | The biggest increase in adoption is in professional services, and gen AI is (today at least) most often being used in marketing and sales (for content, personalization and sales leads); product and service development (for design development, scientific literature and research review); and IT (for help desk chatbots, data management, real-time assistance and script suggestions). Also, organizations are seeing the greatest cost reduction in human resources. | AI |
techradar - Hardly any of us are using AI tools like ChatGPT, study says – here’s why | Even among the people who have used generative AI tools like ChatGPT, Google Gemini or Microsoft Copilot, a large proportion said they'd only used them "once or twice". Only a tiny minority (7% in the US, 2% in the UK) said they use the most well-known AI tool, ChatGPT, on a daily basis. | ChatGPT |
The Hacker News - New Research Warns About Weak Offboarding Management and Insider Risks | Today, where SaaS applications are easily onboarded and are commonly used by users within and beyond the organization, effective offboarding procedures are non-negotiable to prevent instances of data leaks and other cybersecurity issues. Let's explore insider risk management and user offboarding in more detail, looking at their security risks and discussing best practices for ensuring a secure organization. | Security |
sdxCentral - How technology is driving C-suite expansion — should yours be, too? | Organizations today collect more data than they even know what to do with. And that accumulation of data will only continue to accelerate: Gartner estimates that between 2023 and 2028, large enterprises will triple their unstructured data capacity across their on-premises, edge and public cloud locations. | IT Management |
Age and gender made a big difference: Males aged 18-34 were by far the biggest users at 33%, while only 16% of females in that age group regularly use LLM chatbots at work. Almost half (48%) of workers using LLMs said they had figured out how to use the tools on their own, although this, too, varied by age. Workers under 55 preferred to explore the technology on their own, while those aged 55 or over expressed a desire for formal AI training. | AI | |
Diginomica - Clarity may be emerging in AI capabilities pricing. Here's how | Some vendor executives have already promised Wall Street (or their private equity overlords) that the road to AI is made of gold and that customers will gleefully fork over huge new premiums for the honor of using a vendor’s new AI-powered apps (News flash – they won’t). The executives who made these promises may have shortened their careers. | AI Management |
Information Week - Addressing Trending Questions About Generative AI | Targeted multidisciplinary teams then utilize frameworks, such as use-case value matrix, to vet and juxtapose the ideas based on business value and feasibility. At this stage, the C-suite and technology leaders (responsible for AI, analytics, data, applications, integration or infrastructure) can work together to determine how to vet and fund the various AI initiatives. In order to do this, they should look at cost, value, and risk. | AI |
ZDNet - Generative AI may be creating more work than it saves | "There are lots of things that large language models can do that probably don't need doing," he stated. For example, business correspondence is seen as a use case, but most work is done through form letters and rote automation already. Add the fact that "a form letter has already been cleared by lawyers, and anything written by large language models has probably got to be seen by a lawyer. And that is not going to be any kind of a time saver." | Automation & Productivity |
Datanami - Predibase Fine-Tuning Index Ranks Best Open-source LLMs for Common Task Types | Drawing from over 700 fine-tuning experiments, this comprehensive resource is designed to aid enterprise AI teams in selecting the optimal open-source model for their specific applications and reports the performance of 13 of the most popular open-source LLMs across 31 distinct tasks compared to leading commercial LLMs. | AI |
The report showed only about half (54%) of the surveyed security leaders are confident their C-suite completely understands the cyber-risks facing the organization. 34% of respondents stated cybersecurity is still treated as part of IT rather than business risk. | Security | |
VentureBeat - How Microsoft’s Copilot+ PCs could reshape enterprise computing | “We believe AI will be distributed; the richest AI experiences will harness the power of the cloud and the edge working in concert. This, in turn, will lead to a new category of devices that turn the world into a prompt; that can see us, hear us, [and] reason about our intent and surroundings.” | Automation & Productivity |
AiThority - Interest in GenAI Is High, but Significant Investment Is Lacking | The new research on GenAI investments reveal that while enterprises recognize the significant potential of unstructured data to enhance operational efficiency and drive meaningful insights, many are struggling to effectively leverage this resource. The survey shows that a lack of expertise and insufficient tools are major barriers, with only a small percentage of enterprises dedicating more than a quarter of their GenAI investments / budget to unstructured data initiatives. | AI/Data |
Computerworld - What happens when genAI vendors kill off their best sources? | One of the reasons I’m still making a living as a tech journalist is because I’m very good at discerning fact from fantasy. Part of that skill set comes from being an excellent researcher. The large language models (LLM) that underpin genAI chatbots…, not so much. Today, and for the foreseeable future, at their best, genAI is really just very good at copying and pasting from the work of others. | AI Ethics |
Information Week - How Does the Ransomware-as-a-Service Model Work? | “If everyone is coding their own stuff, then there's a high likelihood that you'll introduce bugs and the chance [of] something going awry is great,” explains Lee. “So, anything that is coded correctly and works functionally every single time has a higher chance of success in creating the trust that's needed in the environment for ransomware to succeed.” | Security |
Another challenge lies in the interdisciplinary nature of AI risk, which encompasses technical, ethical, legal, and societal dimensions. Businesses have long understood that risk management should not be thought of in organizational silos, but making such changes can prove challenging, especially when AI is involved | AI/Risk Mgmt | |
And let’s be brutally honest for a second: Google’s Gemini system is not that technology. Not in its current form, anyhow, nor in the way Google is scrambling to cram it into every possible nook and cranny and have it act as the end-all answer for every imaginable tech purpose. | Automation & Productivity | |
VentureBeat - Ceding control: How Copilot+ and PCs could make enterprises beholden to Microsoft | But it wasn’t just the PC that was undergoing a transformation from open to closed. The internet itself, once a radically decentralized network where any node could communicate with any other on equal terms, was becoming increasingly centralized under the control of a few giant companies. Google, with its 95% share of the search market, was already the gatekeeper of the internet’s information long before the rise of AI. | Tech Trends |
AiThority - The Urgent Need for AI Guardrails in the Public Sector | These issues aren’t new. Over the past several years, concerns over bias in algorithms and AI have been cited by the World Economic Forum, the University of Michigan, McKinsey, MIT, the Brookings Institution, the National Institutes of Health and Harvard University — to name just a few. But with AI’s rapid proliferation and sophistication — the alarm bells are getting louder. | AI Ethics |
Information Week - How Companies Can Retain Employee Trust During the AI Revolution | Employee resistance comes in many forms but the majority stems from a fear of losing jobs, leading to more absenteeism, lower morale, reductions in productivity, and poor adoption of new technology. In more extreme cases, you might have the very people in charge of deploying, maintaining, and optimizing an AI solution contributing to its ineffectiveness. | Automation & Productivity |
Despite 72% of companies implementing systems to monitor for fake website versions, 66% said they primarily learn about these attacks through customer reports. Additionally, 37% become aware of attacks through “brand shaming” by affected customers on social media. | Security | |
CIO - 5 use cases for how Generative AI can supercharge document productivity across the enterprise | Most business today can be described as MORE—more technology, more meetings, more projects, more data, and more documents. Coupled with the increasing expectations to do more with less, it’s a lot for knowledge workers to handle. In fact, according to MIT Sloan, 80 percent of knowledge workers experience information overload and it’s impacting productivity. Adobe’s Future of Digital Work survey reported that knowledge workers waste nearly a full day (8.2 hours) a week just looking for information they need to do their jobs. | Automation & Productivity |
Computerworld - AI glasses + multimodal AI = a massive new industry | Multimodal AI simultaneously combines text, audio, photos and video. (And to be clear, it can get the “text” information directly from the audio, photos or video. It can “read” or extract the words it sees, then input that text into the mix.) | AI |
Blocks & Files - Nasuni: Copilot has won the Windows Gen AI chatbot race | Nasuni execs reveal that they think Microsoft has already effectively won the Gen AI race for Windows users, closing the door on storage companies building their own vectorization facilities to make RAG content available to their own Gen AI chatbots. Nasuni will use a co-pilot in its AIOps facilities. | AI/Data |
AiThority - 10 AI ML In Data Storage Trends To Look Out For In 2024 | 60% of all business data is kept in the cloud. The cloud storage is estimated to exceed 100 zettabytes. 54.62% of consumers utilize 3 distinct cloud storage providers. Google Drive has nearly 1 billion users, whereas Dropbox has over 700 million claimed users. | Data Management |
Forbes - How To Harness Technology To Propel Business Success And Employee Satisfaction | In the study, two groups of participants were sorted into three conditions for completing a task: no access to AI, access to ChatGPT, and access to ChatGPT plus an overview of how to use the tool. The participants who had access to GPT experienced a 38% increase in performance compared to those without access, and those who had access to GPT plus an overview of how to use it saw a 42.5% increase in performance. | Automation & Productivity |
Computerworld - Chrome vs. Edge: Which browser is better for business? | These days, web apps like Google Docs, Gmail, Salesforce, Jira, and countless others are accessed via the browser as well. And countless software makers that offer traditional apps that you install and run on the desktop, such as Trello, Asana, Slack, and Microsoft 365 apps like Word, Excel, PowerPoint, and Outlook, also have highly capable web-based versions of their apps that are more convenient to use at times. So browsers have become your window to work as well as your window to the world. | Automation & Productivity |
AiThority - US Organizations Targeted by Deep Fake and Third-Party Vendor Risks | Despite the positive attitudes toward AI and ML, 25% of respondents list managing and securing emerging tech like AI, ML and blockchain as a top challenge and only about a third (36%) intend to increase cybersecurity spend by up to 25% in the next 12 months. | Security |
SiliconANGLE - Power play in hybrid AI: IBM and Dell in focus | To be clear, our data shows that public cloud growth for AI workloads will continue to expand at a significantly faster pace than those on-prem workloads– perhaps triple the rate. But data locality, data sovereignty, legal, compliance and privacy concerns, combined with a capable and trusted group of traditional on-prem players, creates an AI workload tug-of-war that will allow the hybrid plays to capture their fair share of AI momentum. | AI/Data |
AiThority - New Report Highlights a Cautious Approach toward Use of AI for Small Businesses | “Small business owners literally can’t do it all, so while they can be more cautious when it comes to adopting new technologies, Thryv’s survey indicates a lot of them expect to benefit from the promise of AI,” | Automation & Productivity |
AiThority - AI in Customer Engagement: Marketers Now Use GPT Models for Impactful Outcomes | The research study serves as a guide for brands navigating the implementation of AI. Brands at the initial stages of AI adoption should aim to progress towards more advanced levels. This will involve brands needing to shift from using AI for operational efficiency to leveraging it for personalization, experimentation, and ultimately, strategic planning and decision-making. | Marketing Tech |
VentureBeat - Alexa, Siri, Google Assistant vulnerable to malicious commands, study reveals | As speech interfaces become ubiquitous, from smart speakers to AI assistants, ensuring the safety and robustness of the underlying technology is crucial. However, the AWS researchers found that despite built-in safety checks, speech language models (SLMs) are highly vulnerable to “adversarial attacks” — slight perturbations to the audio input that are imperceptible to humans but can completely alter the model’s behavior. | AI/Security |
sdxCentral - Deloitte on Tech: As margin efforts lag, companies turn to genAI | In trying to address margins, leaders are becoming more focused in cost-control efforts, decreasing the number of strategic areas they are targeting. In doing so, they are turning to generative artificial intelligence (AI), machine learning (ML), and enhancements in tracking and reporting processes. | Automation & Productivity |
Unfortunately, the meaningless requirements and barriers we place in front of candidates are only likely to get more burdensome with time. Want an entry-level security operations center (SOC) position? Please arrive with a bachelor's degree in cybersecurity, Security+ (CISSP preferred) training, and $30,000 worth of SANS courses. Oh, and be prepared to work third shift for a while. | Tech Jobs | |
sdxCentral - Palo Alto Networks: AI-generated code leads to top 7 cloud security concerns | On the other hand, the need for simplification and consolidation rises as organizations on average have 16 cloud security tools. Almost all the respondents (98%) stated the importance of reducing the number of security tools and 90% say the number of point tools they use creates blind spots affecting their ability to prioritize risk and prevent threats. | Security |
Tom's Guide - ChatGPT-4o vs Google Gemini Live — how the new AI assistants stack up | However, there are some notable differences. OpenAI’s ChatGPT Voice sounds more natural, can detect and respond to emotion and vocal tones and even adapt in real-time to how you ask it to speak. I didn’t see evidence of that capability from Gemini Live. | ChatGPT |
SiliconANGLE - RSA Conference 2024 goes beyond AI-powered security to securing AI itself | The other trend that really came into light this year is the broader awareness that critical infrastructure is exposed. It’s almost as though the AI awakening has led folks to better understand the potential of AI to do bad things with drones and other machine intelligence that puts the electric grid, water supplies, data centers, energy facilities, all forms of transportation and many more services we rely on at huge risk. | AI/Security |
ZDNet - What is a Chief AI Officer, and how do you become one? | The research recognizes that the wide availability of generative AI tools has created a form of shadow AI: "End users wield AI without the education, guidance, discipline, and control data scientists and other experts have long brought to the AI value versus risk equation," | AI |
SiliconANGLE - Analyst insights: The ‘crucible moment’ of AI integration in database evolution | “I do believe that, ultimately, vector technology will be integrated with other AI technologies,” he said. “It won’t be sold as a product in of itself. [Data] has to be absolutely correct because databases are … data is either right or wrong. There’s no in between.” | AI/Data |
Computerworld - Why you’ll soon have a digital clone of your own | To me, the most fascinating dimension to the digital influencer phenomenon is the reaction of the public. Followers who presumably know these influencers are computer-generated actually leave comments on their posts, addressing the non-person as if they were capable of reading and understanding comments. | AI Ethics |
ZDNet - Why the future must be BYO AI: Model lock-in deters users and stifles innovation | The expanding role of generative AI is hindered in various devices -- smart speakers, smartphones, wearables, and earphones -- due to the lack of choice for AI providers. Why? Most gadgets are bound to specific AI models or services because of manufacturer-exclusive partnerships or proprietary technologies. | Emerging Tech |
Diginomica - Six AI industry trends we’re tracking in 2024 (and beyond) | Digitally mature manufacturers are enhancing their existing systems by incorporating AI to drive performance. In just a few years, the acceleration of AI spending in IT will rise to 40% and manufacturers will prioritize the use of AI to increase revenue and decrease costs. In fact, McKinsey has highlighted that adopting AI pattern recognition tools can lead to a 4% increase in revenue, up to 20% reduction in inventory, and a decrease in supply chain costs by up to 10%. | Automation & Productivity |
Further, principles are no more effective at engendering trust in AI than they are for people and organizations. Do you trust that a discount airline will deliver you safely to your destination because of their principles? Or do you trust them because of the trained pilots, technicians, and air traffic controllers who follow rigorously enforced processes, using carefully tested and regularly inspected equipment | AI Ethics | |
“Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making,” the researchers write. “Generative AI presents a new risk profile of persuasion due to the opportunity for reciprocal exchange and prolonged interactions.” | AI Ethics | |
Computerworld - Apple is intensely focused on its global AI efforts | These aren’t the first AI models to slip out of Apple’s research labs. Earlier this year, the company published AI models that can edit photos through written prompts, and another to help people optimize their use of an iPhone. Interestingly, six of the researchers named as authors of a paper describing the latter technology were former Google employees hired in the last two years. | AI |
Information Week - Transform Data Leadership: Core Skills for Chief Data Officers in 2024 | Key among these skills is strategic visioning to align data initiatives with business goals, the ability to articulate the value of data-driven decisions across various levels of the organization, and stakeholder management skills to navigate diverse interests and foster collaboration. | Data Management |
VentureBeat - How to use LLMs to lose your competitors: A mixology for enterprise leaders | This option is much less exciting at first, but it will be worth it in the long run. It starts with setting a vision for the future you want to create. This means setting aside time outside of operational meetings to sit, brainstorm and set a vision as a leader (no, not a mission statement) such as “Our organization should have zero workplace safety incidents,” “We need to lower the effort involved in getting access to healthcare expertise,” or “Our company should be the kind of company where the younger generations of the workforce want to build their whole career.” | AI/Leadership |
Yahoo!Finance - 20 Most Used Artificial Intelligence (AI) Platforms of 2024 | On February 13, Advanced Micro Devices, Inc. (NASDAQ:AMD) reported that Kyushu Railway Company (TYO:9142), a Japanese bullet train operator with more than 1,455 miles of railroad tracks, is using an AMD-powered solution from Tokyo Artisan Intelligence, the AMD Kria K26 System-on-Module (SOM), to automate track inspection more accurately and cost-efficiently. | AI |
Computerworld - The end of non-compete agreements is a tech job earthquake | Personally, I’d dump any non-compete agreements immediately and rewrite my employment contracts to use NDAs and trade secrets in their place. No matter what the courts decide, employees hate non-compete agreements — that won’t change. | HR |
Information Week - Should Government Be Allowed to Regulate AI? | "Imagine AI without any form of government oversight," he says. "It's akin to a car hurtling down the road without brakes or a steering wheel -- potentially chaotic and dangerous," he explains via email. "By stepping in, governments can direct AI's trajectory toward societal benefit, ensuring its development aligns with public interest and ethical standards." | AI |
Datanami - Gartner Identifies the Top Trends in Data and Analytics for 2024 | “D&A leaders must demonstrate their value to the organization by linking the capabilities they are developing and the work they do to achieve the business outcomes required by the organization,” said Ramakrishnan. “If this is not done, issues such as misallocation of resources and underutilized investments will continue to escalate, and D&A will not be entrusted with leading the AI strategy within the organization.” | Data & Analytics |
“I think the big difference came from the last 20%, making sure you’re getting the answers right. It’s very easy to get the first 80% using a commercial or open source LLMs, but getting that last 20% was really tricky, especially when keeping things up to date,” | AI/DevOps | |
GANs learn the nuances of human expressions and movements. They allow for the realistic manipulation of video content by synthesizing new content that mimics the original data’s style and detail. This makes GANs incredibly powerful at generating deceptive media that continues to be more and more indistinguishable from authentic content. | AI/Security | |
sdxCentral - What is a DNS water torture attack and why are they on the rise? | Another alarming trend highlighted in the report was the dramatic rise in DNS water torture attacks, which bombard authoritative DNS servers to overwhelm systems. Rather than just targeting individual websites, these attacks go after internet infrastructure to maximize damage. | Security |
eWeek - How to Use AI in Sales: Top Strategies, Examples, and Tools | You’ll have to configure AI tools to optimize data inputs, set up dashboards for real-time insights, or automate routine tasks to free up sales representatives for more complex interactions. You can begin integration by setting up the AI tools to automate data entry tasks and generate predictive analytics for processes like lead scoring. This can also involve customizing the user interfaces and dashboards to ensure they are intuitive for your sales team for a smooth transition and immediate uptake. | Sales/Marketing |
Computerworld - The unspoken obnoxiousness of Google’s Gemini improvements | This thing was rolled out way too soon and long before it was ready. It’s being forced down our throats for the sake of Google’s business benefit and at the expense of our user experience. And it’s being awkwardly and hurriedly shaped into a role it wasn’t designed to serve in a rushed-out, piecemeal manner instead of in the thoughtful, meticulous way that would have made it much more palatable for those of us who rely on Google’s services. | Automation & Productivity |
VentureBeat - Elections 2024: How cybersecurity and AI will play its part | Audio deepfakes seem more likely to be troublesome than video, which might be easier to spot as manipulated, at least in the short term. Deepfakes have also used public figures to date but could, in the future, target election workers in highly contested districts, which may be harder to dismiss quickly. Counterfeit websites can be built to support claims and spread further disinformation, hosted online and distributed more quickly than ever, amplifying the reach of deepfakes. | AI/Security |
TechRepublic - OpenAI’s GPT-4 Can Autonomously Exploit 87% of One-Day Vulnerabilities, Study Finds | A large language model agent — an advanced system based on an LLM that can take actions via tools, reason, self-reflect and more — running on GPT-4 successfully exploited 87% of “one-day” vulnerabilities when provided with their National Institute of Standards and Technology description. One-day vulnerabilities are those that have been publicly disclosed but yet to be patched, so they are still open to exploitation. | AI/Security |
The Verge - Zuckerberg says it will take Meta years to make money from generative AI | He said that the Meta AI assistant has been “tried” by “tens of millions of people” since it was made widely available last week, though that’s to be expected given how prominently it’s now featured in areas like the Instagram search box. The real test will be whether Meta AI becomes a product that people come back to often and if lots of people want to use an AI assistant in social media apps. | Social Media |
VentureBeat - Why unlocking customer data is the key to reaping AI rewards | This group of brands does better across the board at understanding their customers, and showing it. They deliver omnichannel engagement, personalize customer experiences and use first-party data rather than third-party cookies to inform their interactions. These brands use AI to end the age-old method of one-to-many personalization and deliver unique experiences for individual customers. | Data & Analytics |
Whether you are utilizing an AI chatbot as a source of information for a research paper, a work project, or to suit your curiosity, seeing the source of the answer is great. Cited sources make it easier to further your research and confirm the accuracy of the chatbot's response -- and that is where Copilot continues to shine over ChatGPT. | Automation & Productivity | |
To determine where these gaps are, start by looking at your legacy tools and applications, as well as any performance data or support tickets that indicate recurring problems with those systems. Additionally, assess the size and quality of different departments and teams, paying close attention to any resources they’re missing that would make their work more efficient. | Automation & Productivity | |
VentureBeat - DeepMind researchers discover impressive learning capabilities in long-context LLMs | A new study by researchers at Google DeepMind explores the “many-shot” in-context learning (ICL) ability of LLMs that have very long context windows. Their findings show that by fitting hundreds or even thousands of training examples in the prompt, you can improve the model’s abilities in ways that would previously require fine-tuning. | AI/LLM |
Information Week - How Developers of All Skill Levels Can Best Leverage AI | Increased AI adoption has come with its challenges. Studies, like this one done by GitClear, note that AI use in the development process has exacerbated code churn; it’s expected to double by the end of the year. This is often a result of mishandling or misunderstanding AI in the software space. This means poor quality, AI-generated code stands to become a large business pitfall and compound technical debt if not handled properly. | AI/DevOps |
Computerworld - Gen Z workers pick genAI over managers for career advice | The survey, conducted in partnership with research firm Workplace Intelligence, also found Gen Z employees are engaging more in “AI Career Coaching” and claim to get their best career advice from ChatGPT. Around 47% of Gen Zers say they get better advice from a chatbot than from their manager. More broadly, 77% of employees and 79% of human resource leaders said they’d experienced at least one characteristic of a toxic workplace in their jobs. | HR |
VentureBeat - Confronting the ethical issues of human-like AI | The appeal of pseudoanthropy lies in its potential to humanize and personalize experiences. By emulating human-like qualities, AI can theoretically create more intuitive, engaging and emotionally resonant interactions. However, recent real-world examples illustrate how these same capabilities also open the door for deception, manipulation and psychological harm. | AI Ethics |
Forbes - Do You (Really) Need A Chief Artificial Intelligence Officer? | "The need (is) to transform real-time, every day, at the same time that you perform". AI is an important part of the current complexity this new breed of executives must manage. Although a Chief AI Officer may provide coordination and awareness, the need is deeper. | Leadership |
SiliconANGLE - Zscaler report warns of AI’s growing role in sophisticated phishing attacks | With generative AI now freely and frequently available, cybercriminals have been using it to rapidly construct highly convincing phishing campaigns that surpass previous benchmarks of complexity and effectiveness. Using AI algorithms, threat actors can swiftly analyze vast datasets to tailor their attacks and easily replicate legitimate communications and websites with alarming precision. | Security |
VentureBeat - More than half of U.S. has tried generative AI according to Adobe Analytics | Despite the widespread adoption and perceived benefits, there remains a cautious perspective on the limits of technology: 72% of respondents believe that while generative AI is a powerful tool, it will never fully replicate human creativity. | AI |
LIFEHACKER - How Meta AI Compares to ChatGPT, DALL-E, and Google Gemini | Llama 3 currently boasts up to 70 billion training parameters, with a version based on 400 billion parameters on the way, so it’s certainly a powerful tool. But for the average person, what can it do that other tools like ChatGPT, DALL-E, and Google Gemini can’t? Here’s where you might want to use Meta AI over the competition. | Automation & Productivity |
ZDNet - What is generative AI and why is it so popular? Here's everything you need to know | The purpose of generative AI is to create content, as opposed to other forms of AI, which suit different purposes, such as analyzing data, making ad recommendations, parsing through applications, helping to control a self-driving car, etc. | GenAI |
Now along come these language engines, with suspiciously casual or mythopoeic names like ChatGPT or Bard, that suffer not an iota of writerly uncertainty. In what can only be called acts of emesis, they can pour out user manuals, short stories, college essays, sonnets, screenplays, propaganda, or op-eds within seconds of being requested for them. | AI Ethics | |
ZDNet - How a new law protects your thoughts from tech companies – and why it matters | On Wednesday, the governor of Colorado signed a bill expanding the state's existing privacy law to include neural data, or brain activity. The bill added brainwaves under the umbrella of biological data, which it defined as "data generated by the technological processing, measurement, or analysis of an individual's biological, genetic, biochemical, physiological, or neural properties, compositions, or activities or of an individual's body or bodily functions." | Data Privacy |
Mashable - Rabbit R1: 7 things it can do that steals ChatGPT's shine | And that's just the tip of the iceberg. Mashable will be at the Rabbit R1 pick-up party. Expect a review on the Rabbit R1 soon — we'll be testing how well these features work in the real world. | Automation & Productivity |
The Hill - The telltale signs of AI-generated images, video and audio, according to experts | “If someone has the ability to manipulate or fabricate this media, and users cannot tell the difference … [it can] influence their decision-making, and by doing so, affect our lives and society and democracy,” Lyu said. “That’s a critical concern and threat to the well-being of everyone.” | AI Ethics |
Digitrends - An Apple insider just revealed how iOS 18’s AI features will work | Rumors of an internal tool code-named “AppleGPT” have been circulating around for a while now. But it seems Apple hasn’t quite reached the level of finesse that the likes of Google and Microsoft (with OpenAI) have achieved with tools like ChatGPT, Copilot, and Gemini. This also explains recent reports claiming that Apple might license Gemini AI from Google – just like Samsung and OnePlus – for iPhones instead of serving a product that doesn’t quite stand out. | Emerging Tech |
"Support for AI tied as the top IT infrastructure purchase criterion among healthcare organizations. In addition, implementing AI strategies came in second when healthcare respondents ranked what they considered the biggest priority for their organizations' CIO/CTOs and leadership (17 percent).... And 84 percent of healthcare organizations said they were increasing investments in AI strategy in the coming year. The same group, however, largely considered running AI to be a challenge (82 percent), with 33 percent describing it as a 'significant' one." | AI | |
New Atlas - The bad and the ugly: AI is harmful, unreliable, and running out of data | According to surveys conducted by Ipsos, while 52% of the global public expressed nervousness about products and services that used AI, up from 39% in 2022, Australians were the most nervous, followed by Brits, Canadians, and Americans. | AI Ethics |
VentureBeat - OpenAI or DIY? Unveiling the true cost of self-hosting LLMs | If you talk to your machine learning (ML) engineers, they’ll probably tell you that Lama 2, an open-source LLM, appears to be a good model to proceed with because it performs equally well on most tasks as GPT-3, which is your current model. | AI/LLM |
As we’ve reported, AI is stealing budget from other sectors of the tech economy. And generally the monetization hasn’t been there or at least not to the point where it’s causing the overall spending climate to grow. In fact, just the opposite is happening, that is, the spending outlook remains challenging overall. So until AI projects start to throw off enough cash to pay for themselves or other initiatives, we expect the macro to be challenging. | AI | |
VentureBeat - Why LLMs are predicting the future of compliance and risk management | “By adopting cloud technologies and moving away from on-premises solutions, we’ve seen a drastic reduction in both infrastructure and operational costs—by approximately 40% and 150%, respectively,” Carlson noted. These changes have not only simplified operations but also greatly increased the scalability of Relativity’s services, crucial for handling their extensive document loads. | AI/LLMS |
SiliconANGLE - Integrating quantum computing with AI for enterprise solutions | “I think it’s like 35 billion as the market size right now, but it’s projected to go to a trillion dollars by 2030,” he said. “One of the big things that’s happening in quantum is this idea of qubits … as we go through the qubits, scaling up on that, we’ll be able to scale into more sophisticated problems in the market … quantum can help solve these things.” | Quantum Computing |
Diginomica - Can generative AI help tackle anti-money laundering? Yes, says WorkFusion - here's how | WorkFusion is tackling concerns about risk from the financial services market by adding generative AI enhancements to its existing pre-built AI digital workers, and stakes the claim that by putting the two together the risk of errors has in some cases come down to nearly zero, whilst automation rates for decision making can rise by up to 95%. | AI/Fintech |
It achieves remarkable 94.6% accuracy in keyword spotting generally, outperforming OpenAI’s widely acclaimed Whisper model with its 88.4% accuracy, according to metrics shared by aiOla. It also works across 100 different languages, and transcribes the text in near realtime. | Automation & Productivity | |
Security InfoWatch - Egress: Millennials are key target of top phishing trends | Social engineering has also increased, now representing 19% of phishing attacks and phishing emails are over three times longer than they were in 2021, likely due to the increase in use of generative AI. On the other hand, the use of attachment-based payloads has decreased since 2021; three years ago, these accounted for 72.7% of attacks detected by Egress Defend, and by the first quarter of 2024, this had fallen to 35.7% as threat actors evolve their payloads to evade cybersecurity efforts. | Security |
Datanami - SAS-Sponsored Study Highlights Talent Shortages and Strategic Gaps in GenAI Adoption | “GenAI should be treated as an ideal contributor to hyperautomation and the acceleration of existing processes and systems rather than the new shiny toy that will help organizations realize all their business aspirations. Time spent developing a progressive strategy and investing in technology that offers integration, governance and explainability of LLMs are crucial steps all organizations should take before jumping in with both feet and getting ‘locked in.'” | AI |
Diginomica - Certinia spring release emphasizes the role of AI in optimizing services operations | With a strong focus on resource planning, process automation and project finance management, this release demonstrates the vendor's understanding of what makes a services business tick, and how to keep projects running on time and to budget. AI is destined to play a growing role here in helping businesses achieve these goals and stay competitive. | Automation & Productivity |
AiThority - Qvest’s NAB 2024 Insights Highlight the Need for Quality AI Translation Solutions | In the translation industry, these technologies often complement the existing efforts of human translators, streamlining workflows, enhancing productivity, and allowing people to focus on tasks that require a nuanced understanding of language and culture. This synergy between human expertise and AI capabilities results in higher-quality translations and improved overall efficiency. | Automation & Productivity |
Meta’s AI assistant is being put everywhere across Instagram, WhatsApp, and Facebook. Meanwhile, the company’s next major AI model, Llama 3, has arrived. | ChatGPT | |
Datanami - General Assembly Report: Tech Firms Pay Top Dollar to Secure Competent AI Professionals | The report outlines how HR leaders from across the globe – including Australia, Canada, France, Singapore, and the United States – are taking action to develop an AI-enabled workforce. Their responses are paired with actionable guidance based on General Assembly’s delivery of tech training services to Fortune 500 companies, including Microsoft, Humana, Indeed and Adobe. | Tech Jobs |
CIO Influence - Will AI Replace or Enhance Cybersecurity Engineering? | In addition, cyberattacks are evolving rapidly. Tactics ranged from containerizing infiltration service accounts to dealing with a bug discovered in a service’s SQL injector. Adding to the issue, feeding an entire company’s technology stack and security events (a known downside since the scale is a constraint at the moment), there is no proof that such large language models (LLMs) could get the mindset of a cyber-attack or medically prescribe a defensive strategy. | AI/Security |
Network World - Gartner: AI to drive 10% jump in spending on data center systems | GenAI-related spending is also influencing the service provider market. “There is also gold rush level spending by service providers in markets supporting large scale GenAI projects, such as servers and semiconductors,” Lovelock stated. “In 2024, AI servers will account for close to 60% of hyperscalers total server spending.” | Data Management |
ZDNet - Slack AI is now available to all paid users. Here's what these features can do for your team | For example, the recap feature gives users the opportunity to receive daily morning digests with summaries of channels they want to follow but can't commit to due to bandwidth constraints. Slack AI can even help users determine which channels to add to their recap based on Slack activity. | Automation & Productivity |
VentureBeat - Stanford report: AI surpasses humans on several fronts, but costs are soaring | The report details an explosion of new AI research and development in 2023, with industry players leading the charge. Private companies produced 51 notable machine learning (ML) models last year, compared to only 15 from academia. Collaborations between industry and academia yielded an additional 21 high-profile models. | AI |
Information Week - Dispelling the Myth of Job Displacement: AI and Transformation | Employee angst is high, and it is leading to questions about the acceptance of the technology, spurring a potential threat as this could lead to a larger resistance to change and AI adoption. To avoid the stalling of AI developments, businesses need to shift their thinking from a defensive attitude to a more people-centric approach. | AI/Jobs |
Entrepreneurs are using generative AI to support day-to-day operations and help perform tasks like drafting content for social media or their website, or even boosting sales (44%). This allows them more time to spend with customers or on other work tasks to support their business, indicating that generative AI is being used as an additive technology rather than a replacement technology. | Automation & Productivity | |
VentureBeat - How LLMs are ushering in a new era of robotics | With the advent of LLMs and vision language models (VLMs), roboticists were able to enhance existing robotics systems in unprecedented ways. The first step in this direction was SayCan, a project by Google Research. SayCan used the semantic knowledge encoded in an LLM to help a robot reason about a task and determine which sequences of actions could help accomplish it. | Robotics |
Diginomica - Google Cloud Industries VP shares the dos and don’ts of generative AI projects | Tharp said that the path to adoption of generative AI will depend on a number of factors, including a company’s background, what industry it is in, what data it holds, what its profit levels are, and what ROI it is seeking. However, she added that the priority should be for organizations to get going and start testing and learning | AI |
Computerworld - How Workona can transform your team collaboration | At its core, Workona is all about organizing workspaces within your browser, based on either project or purpose. It’s designed for people who spend their time working across a range of different and typically disconnected-from-each-other web apps. And while it could be useful for just about anyone, it has some supremely effective tools for team-centric collaboration in particular. | Automation & Productivity |
Sources report that in the next 10 years, the spending on AI-powered advertising campaigns and software will reach $1.3 trillion. The lion’s share of these adtech innovations would happen on the supply side where brands can deliver personalized, hyper-targeted ad experiences to their audiences. | Marketing Tech | |
While the capabilities of the AI models themselves are undeniably impressive, a crucial factor often overlooked is the art of prompt engineering. Just as a skilled sculptor requires the right tools and understands the properties of the material, crafting exceptional AI-generated art hinges on the ability to provide clear, concise, and creatively insightful prompts. | AI/Image | |
ZDNet - 65% of educators think AI can save them time on admin tasks, a new study finds | Morning Consult also found that the two biggest areas where AI can create a positive impact are reducing the time educators spend on administrative tasks (65%) and increasing their ability to personalize learning for each student (63%). | Automation & Productivity |
“It’s less about guardrails and policy, and more thinking about uses cases and outcomes. I’ve always told people the policies you create, the risk frameworks you create cannot be static, they have to evolve over time as you learn,” | AI Ethics | |
Sweden, not a country one would usually associate with cyberattacks, saw a huge increase in DDoS attacks, with Cloudflare observing a 466% increase in attacks targeting the country. The attacks are attributed to Sweden joining the North Atlantic Treaty Organization alliance, with the increase in attacks mirroring a pattern observed during Finland’s NATO accession in 2023. | Security | |
Computerworld - Apple’s iPhone slumps as consumers wait for AI | It’s never good to see an almost 10% decline in sales of a company’s most important product, but there are other reasons for provide optimism. Not only is Apple now actively engaged in developing new business plans for a more regulated industry, it’s also practicing its next pivot to pirouette around the twin themes of AR and AI. | Automation & Productivity |
SiliconANGLE - Report finds bad bots accounted for 32% of all internet traffic in 2023 | The portion of internet traffic associated with bad bots also grew last year, coming in at 32% of all internet traffic, up from 30.2% in 2022. At the same time, traffic from human users fell to 50.4%. The report says automated traffic is costing organizations billions of dollars annually due to attacks on websites, application programming interfaces and applications. | Security |
Computerworld - Do cloud-based genAI services have an enterprise future? | Through 2025, 30% of genAI projects will be abandoned after proof of concept (POC) due to poor data quality, inadequate risk controls, escalating costs, or unclear business value, according to Gartner Research. And by 2028, more than half of enterprises that have built their own LLMs from scratch will abandon their efforts due to costs, complexity and technical debt in their deployments. | AI/Cloud |
The company’s multi-cloud platform, MongoDB Atlas, helps developers build and scale applications in one place. Combined with MongoDB’s integrated operational database, Atlas Vector Search can help organizations build applications powered by generative AI faster and with less complexity — while taking advantage of MongoDB’s industry-leading partner integrations. | AI/Data | |
SiliconANGLE - AI is becoming more powerful and more expensive, and people are getting nervous | The increased performance of AI comes at a cost, though, with the report finding that the development of frontier AI models is becoming far more expensive. Its estimates show that training costs for state-of-the-art models have reached unprecedented levels, with Gemini Ultra said to have consumed $191 million worth of compute resources, and GPT-4 costing an estimated $78 million to develop. | AI |
VideoPoet is the brainchild of a team of 31 researchers at Google Research, and it’s a game-changer in the world of multimedia creation. While Sora focuses on turning text into visual stories, VideoPoet takes a different approach. It excels at creating realistic videos using text, images, or even existing video footage, thanks to advanced techniques like autoregressive language modeling and tokenizers such as MAGVIT V2 and SoundStream. This versatility opens up a world of possibilities for digital art, film production, and interactive media. | Automation & Productivity | |
VentureBeat - Google’s new technique gives LLMs infinite context | A new paper by researchers at Google claims to give large language models (LLMs) the ability to work with text of infinite length. The paper introduces Infini-attention, a technique that configures language models in a way that extends their “context window” while keeping memory and compute requirements constant. | AI/LLMs |
VentureBeat - Edge AI: The accessible, sustainable future of AI | Like ENIAC, AI is currently generating a huge buzz of excitement and optimism (and a little anxiety) — particularly as generative AI has taken off over the last year. However, if we want to understand its long-term trajectory, we can learn a lot from the history of computing hardware. In fact, it’s the same path most technology follows. Things start big, powerful and centralized, and once they’ve made their mark, they start to specialize, localize and become more available for efficient edge cases. | AI |
In this week’s Breaking Analysis, we dig deep into the numbers and look at the macro spending climate, then drill into specific spending patterns around generative AI. We’ll look at how budgets are being funded, how gen AI return-on-investment expectations are changing, common use cases and large language model adoption. And we’ll close by asking the somewhat controversial question: Is it cheaper to do AI in the cloud or in on-premises data centers? | AI | |
VentureBeat - Why small language models are the next big thing in AI | Recent performance comparisons published by Vellum and HuggingFace suggest that the performance gap between LLMs is quickly narrowing. This trend is particularly evident in specific tasks like multi-choice questions, reasoning and math problems, where the performance differences between the top models are minimal. For instance, in multi-choice questions, Claude 3 Opus, GPT-4 and Gemini Ultra all score above 83%, while in reasoning tasks, Claude 3 Opus, GPT-4, and Gemini 1.5 Pro exceed 92% accuracy. | AI/LLMs |
ZDNet - Despite DALL-E military pitch, OpenAI maintains its tools won't be used to develop weapons | The presentation deck -- in which OpenAI's logo appears above the company's mission, "Ensure that artificial general intelligence (AGI) benefits humanity" -- details how DoD could use AOAI for everything from run-of-the-mill ML tasks like content analysis and virtual assistants to "Using the DALL-E models to create images to train battle management systems." | AI Ethics |
“For the next few years, AI’s impact will be more like that of a team member with a unique specialty that boosts overall team productivity. AI is advancing quickly, but it is nowhere close to having some key elements of human intelligence that employees use every day.” | Automation & Productivity | |
The Hacker News - Code Keepers: Mastering Non-Human Identity Management | To manage non-human identities and secrets at scale you need a bird's-eye view of all machine identities in your systems. From ownership details to permissions and risk levels, all this critical information needs to be centralized, empowering your security teams to understand the secrets landscape thoroughly. No more guessing games—just clear insights into non-human identities and their potential vulnerabilities. | Security |
Information Week - Asking Nicely Might Solve Generative AI’s Copyright Problem | It becomes likely, therefore, that new business models might emerge where creatives are given some level of control over what to share with AI vendors. The good news here is that when incentivized to share data that is intended to be used for AI, creators might actually help out by ensuring that the data that is shared is of adequate quality, is actually usable for AI, and comes with a handy guide for data provenance (a somewhat painful problem for those dealing with AI development). | AI Ethics |
Information Week - What the American Privacy Rights Act Could Mean for Data Privacy | A total of 15 states have comprehensive privacy laws, according to the IAPP. The APRA would preempt these existing state laws, according to the draft legislation. Preemption of state law would create uniform standards for data privacy across the country. | Data Privacy |
“Today marks not the first chapter, but the first page. We have an ambitious roadmap with software refinements, new features, additional partnerships, and our SDK. All of this will enable your AI Pin to become smarter and more powerful over time. Our vision is for Cosmos to eventually exist in many different devices and form factors, to unlock new ways to interact with all of your devices.” | Automation & Productivity | |
These AI social media apps help automate content creation, scheduling, monitoring, engagement, and audience-targeting tasks. Some AI tools even offer advanced capabilities that enable analyzing data, identifying trends, making data-driven recommendations, and helping businesses better understand and reach their target audience on social | Automation & Productivity | |
Computerworld - The desktop processor market is suddenly hot again | Amon disclosed that Windows 11 laptops with Qualcomm’s Arm-based Snapdragon X Elite System-on-a-Chip (SoC) will debut in mid-2024. The processor was launched last year and promises long battery life while providing enough CPU horsepower to run AI workloads at competitive speeds with x86 and Apple custom silicon architectures. “Products with this chipset [are] tied with the next version of Microsoft Windows that has a lot of the Windows AI capabilities,” Amon told analysts. | Automation & Productivity |
The Trellix report details LockBit’s activities since being temporarily interrupted in February, finding that there has been a notable surge in LockBit-related activity surrounding vulnerabilities in ScreenConnect. The vulnerabilities exist in ConnectWise Control, previously known as ScreenConnect, a remote support access and meeting solution that enables technicians to control computers or devices remotely to provide support. | Security | |
Yahoo!Finance - 20 Most Used Artificial Intelligence (AI) Platforms of 2024 | The growth in the AI industry is driven by a surge in AI applications, an increasing number of partnerships and collaborations, a rise in small-scale AI platforms, and continuously evolving needs to handle business complexities. | AI |
Tech Times - Can AI Replace Humans in Future Market Research? New Study Has Some Answers | Led by researchers Peiyao Li and Zsolt Katona from the University of California, Berkeley, Noah Castelo from the University of Alberta, and Miklos Sarvary from Columbia University, the study delves into automated market research facilitated by advanced AI technologies. | AI/LLMS |
At their core, LLMs are nothing more than sophisticated memorization machines, capable of reasonable-sounding statements, but unable to understand fundamental truth. Importantly and despite the fervent hopes of many, they are far from delivering or even prefiguring artificial general intelligence (AGI). The hype surrounding LLMs has reached stratospheric levels, fostering a misguided belief in their potential as AGI precursors. | AI/LLMs | |
Dark Reading - EV Charging Stations Still Riddled With Cybersecurity Vulnerabilities | This is because every charging point, whether inside a private garage or on a public parking lot, is online and running a variety of software that interacts with payment systems and the electric grid, along with storing driver identities. In other words, they are an Internet of Things (IoT) software sinkhole. | Security |
When OnlyOffice released its Desktop Editors tool, I assumed it was nothing more than a client for the server. Color me surprised when I discovered that the OnlyOffice Desktop Editors app could also work locally. Not only that, but you could connect it to a cloud instance (such as an OnlyOffice server running on your home network). That's a special kind of flexibility I could certainly use. | Automation & Productivity | |
VentureBeat - Intel touts vision for the open AI era and alternatives to Nvidia’s dominance | Gelsinger said that Intel is committed to being the No. 2 foundry, or contract manufacturer of chips for other companies, by the end of the decade. He said that investment — including an $8.5 billion grant from the U.S. Commerce Department — is necessary to fuel the AI boom, which Gelsinger considers to be the most exciting in technology history since the internet. | AI |
VentureBeat - Top 5 Vertex AI advancements revealed at Google Cloud Next | Vertex AI allows users to work with more than 130 models, including Gemini, partner models like Claude 3 and popular open models like Gemma, Llama 2 and Mistral. Now, building on this work, the company said it is making Gemini 1.5 Pro available in public preview, giving users access to longer context windows of up to 1 million tokens as well as the ability to process audio streams, including speech and the audio portion of videos, for cross-modal analysis. | AI |
OpenAI's DALL-E 2 made a huge splash because of its advanced capabilities as the first mainstream AI image generator. However, since its initial launch, there have been many developments. Other companies have released models that rival DALL-E 2, and OpenAI even released a more advanced model known as DALL-E 3, discontinuing its predecessor. | AI/Image | |
Information Week - Cyber Risks When Job Hunters Become the Hunted | Job search platforms, like any other application, are vulnerable to web exploitation. Threat actors could seek to inject code via malicious links, allowing them to steal data or gain access to administrator accounts and move laterally throughout the system. Threat actors could also target these platforms with web scraping attacks. | Security |
The Hacker News - The Drop in Ransomware Attacks in 2024 and What it Means | Law enforcement from multiple countries collaborated to take down LockBit's infrastructure. This included seizing their dark web domains and gaining access to their backend systems. Authorities seized cryptocurrency accounts and obtained decryption keys to help victims recover data. They also used Lockbit's own website to release internal data about the group itself. | Security |
Blocks & Files - Datacenter storage system market declines 7%, says analyst | The storage system market witnessed a 7 percent decline in revenue in 2023, with Dell leading in revenue share, followed by Huawei and NetApp. But Huawei was the only major vendor to achieve growth, driven by its success in adopting the latest all-flash arrays among enterprise customers. | Data Storage |
SiliconANGLE - AWS’ AI blueprint emphasizes optionality, trust and scalable industry solutions | Moving up the stack to the second block, this is where much of the attention is placed because it’s the layer that competes with OpenAI. Most of the industry was unprepared for the ChatGPT moment. AWS was no exception in our view. Although it had Titan, its internal foundation model, it made the decision that offering multiple models was a better approach. | AI |
eWeek - 5 Best AI Voice Generators: AI Text-To-Speech in 2024 | Murf is one of the top generative AI voice tools available to both casual and business users, providing them with an accessible user interface and a range of scalable voice generation and editing features. Its primary focus areas include text-to-speech content generation, no-code voice editing, AI-powered translation, AI voice deployment to apps via API, voice cloning, and an AI dubbing feature that is currently in beta for more than 20 languages. | AI/Voice |
Chuvakin delineated the differences between consumer and enterprise AI tools: Consumer-grade AI systems are expected to learn from prompts and improve over time, designed mainly for fun or personal use. Enterprise AI, on the other hand, often requires restrictions on learning from prompts to protect sensitive information, necessitating fine-grained control over the learning process. Enterprise AI should ideally learn from controlled and canonical sources rather than from any available data. | AI/Security | |
TechBullion - The Future of Tech Sales: Combining Cybersecurity Insight with Advanced Data Analytics | Ms. Peñailillo says having an in-depth understanding of cybersecurity is a unique selling point for the businesses she works with: “Clients are more tech-savvy now and understand the value of protecting their data. My role involves explaining complex security concepts in a way that resonates with their specific business needs. | Vendor Management |
AiThority - Millennials are the BEST at Detecting AI-generated Content | According to Bynder’s latest study on how consumers interact with AI-generated content, 50% of consumers could detect AI-generated copy easily. It’s a tell-tale sign that consumers are just as informed and attentive to finding the use of AI in generating content fed to them on the internet. | AI Ethics |
TechStartups - Nearly 33 percent of young Americans have used ChatGPT at work, new survey shows | The survey also reveals a notable trend among American adults under 30, with a striking 43% having leveraged ChatGPT, marking a 10-percentage-point uptick since last summer. Although there’s been a modest rise in usage among those aged 30 to 49 and 50 to 64, these demographics still lag behind their younger counterparts in embracing the technology. Notably, only 6% of Americans aged 65 and above have utilized ChatGPT. | ChatGPT |
By far, the researchers report, Grok performed the worst across three categories. Mistal was a close second, and all but one of the others were susceptible to at least one jailbreak attempt. Interestingly, LLaMA could not be broken (at least in this research instance). | AI Ethics | |
VentureBeat - Perplexity’s growth upends SEO fears, reveals crack in Google’s dominance | Some sources are pulled in thanks to paid partnerships while others are obtained through the open web. Regardless, Yu argues that this is an example of “beachfront real estate” where gen AI engines must strike deals with online communities to get the training data they need for their models. Just look at Reddit’s licensing deal with Google ahead of its IPO and Yelp’s tie-up with Perplexity. | AI/Search |
Computerworld - Just how good is AI-assisted code generation? | When asked what they most likely would create using genAI tools, the top answer was software code, followed by algorithms and large language models (LLMs). They also said they expect genAI to shorten the development lifecycle and make it easier to add machine-learning features. | AI/Coding |
The survey respondents also expressed a belief that AI, rather than replacing humans, is more likely to empower them and make them more effective at their jobs. Some 30% of respondents said AI will enhance their skill set, with 28% indicating it will support their role more generally, and 24% saying it will replace large parts of their role, freeing them up to perform other activities. | AI/Security | |
Many businesses also make no bones about their plans to replace J. Staffer with I. Robot. IBM CEO Arvind Krishna said IBM wouldn’t be hiring while it shifted to AI. Last month, IBM cut marketing and communications jobs, and while it didn’t say this was due to AI, really, did execs even need to? One of the most popular mistakes companies are making in their fast embrace to AI is to replace writers with chatbots. | Tech Jobs | |
SiliconANGLE - Anthropic researchers detail how ‘many-shot jailbreaking’ can manipulate AI responses | Dubbed “many-shot jailbreaking,” the technique capitalizes on the expanded context windows of LLMs. They have increasingly grown from processing the equivalent of a long essay to digesting content as extensive as several novels. A context window refers to the maximum amount of text, measured in tokens, that the model can consider at one time when generating a response. | AI/LLMs |
Humane, Rabbit, Brilliant, Meta, and countless other companies are just about to launch AI-first gadgets. AI hardware may not be as big as the smartphone, but it’s going to be big. | AI | |
While GPUs have been pivotal in advancing AI, overemphasizing them might detract from exploring and leveraging equally effective and potentially more sustainable alternatives. Indeed, GPUs could quickly become commodities like other resources that AI systems need, such as storage and processing space. The focus should be on designing and deploying these systems, not just the hardware they run on. Call me crazy. | Cloud | |
VentureBeat - Gen Z workers say they get better career advice from ChatGPT | That’s a problem, because while ChatGPT can be helpful for a range of work-related tasks such as helping you personalize resumes for job applications, its data may be out of date or not relevant to the questions younger workers are asking. The free version, ChatGPT 3.5, is only trained with data up until January 2022, while the paid subscription version, ChatGPT 4, has information up to April 2023. | ChatGPT |
The study pointed out that HR could most benefit from the technology in three key areas: recruitment, learning and development, and talent management. It also revealed that nearly 25% of organizations have already introduced generative AI for hiring purposes, making it the top area for adoption to date. A further 30% also plan to implement it in the next 24 months. | AI/HR | |
Per the report, nearly three-fourths (67%) of security practitioners have already tested AI specifically for security tasks. Additionally, 55% of organizations will incorporate AI security tools this year — the top use cases being rule creation, attack simulation, compliance violation detection, network detection, reducing false positives and classifying anomalies. C-suites are largely behind that push, as confirmed by 82% of respondents. | AI/Security | |
Many marketing plans still rely heavily on email marketing. ChatGPT offers distinct advantages by delivering tailored and targeted email messages catering to the recipient’s interests and preferences. As a bonus, the subject lines and copywriting that it can produce with AI assist in increasing open rates and user engagement. | Marketing Tech | |
Computerworld - Biggest problems and best practices for generative AI rollouts | Chandrasekaran and other experts have long called out the fact that data hygiene, categorization, and security are lacking in most organizations. When poor data quality is combined with a genAI large language model (LLM) — well, garbage in, garbage out. GenAI platforms are little more than next-word, image or line-of-code prediction engines, so they generate responses based on the data they’ve been fed. | AI/Data |
The process of web scraping involves two components: the crawler and the scraper. The crawler, an AI algorithm, controls the web, seeking specific data by following internet links. Conversely, the scraper is specialized in extracting data from websites. The scraper’s design varies depending on the project’s complexity and scope, ensuring efficient and accurate data extraction. | Data Management | |
Datanami - IDC Estimates that GenAI Will Increase Marketing Productivity More Than 40% by 2029 | The results show that GenAI will be able to handle more than 40% of the collective work of marketing teams and potentially 100% of specific marketing tasks. While the benefits of applying GenAI to marketing tasks will vary by company based on the number of individuals associated with each role and the salary ranges at the organization, the productivity gains (as a percentage of work) offer strong guidance for marketing teams of all sizes. | Marketing Tech |
The Verge - Will the Apple antitrust case affect your phone’s security? | “Apple selectively compromises privacy and security interests when doing so is in Apple’s own financial interest,” the complaint reads, “such as degrading the security of text messages, offering governments and certain companies the chance to access more private and secure versions of app stores, or accepting billions of dollars a year for choosing Google as its default search engine when more private options are available.” | Data Privacy |
Network World - AI drives spending on cloud infrastructure, IDC reports | “Shared” cloud infrastructure, which largely covers public cloud-type deployments, saw 27% growth compared to a year earlier, reaching $22.8 billion. That also represents nearly 45% of total worldwide infrastructure spending, cloud or non-cloud. By contrast, “dedicated” cloud, which is mostly private cloud infrastructure, grew by a mere 1.4% over the same time frame, to $9 billion. | Cloud |
SiliconANGLE - AI can see clearly now: Why transparency leads to ethical and fair AI systems | At its core, transparency in AI refers to the ability to understand and trace how AI systems make decisions. It’s about making the inner workings of AI algorithms clear to humans, particularly those who use, regulate or are affected by them. | AI Ethics |
Network Computing - Network Service Providers Hit with AI Traffic Surge | However, this may come with a long list of problems for the ecosystem in the future, as the only way for a startup to truly push its technology forward is by having the backing of one of the Magnificent Seven. Without it, most independent startups would simply run out of money before their product generates enough to keep it afloat. Even OpenAI, which hit a $2 billion revenue run in December 2023, is looking to run another funding round, valuing the company at $100 billion in 2024. | AI |
Datanami - Rackspace Survey Reveals Over 60% of Businesses Moving Beyond AI Ideation to Adoption | The survey findings reveal a continued surge in AI investment, with companies anticipating doubling their budgets in 2024 as compared to 2023. Moreover, respondents say their investments are yielding significant returns, with 86% reporting that their companies have seen tangible benefits from the implementation of AI – a notable increase of 10% over Rackspace’s 2023 survey. | AI |
Perplexity AI focuses on delivering accurate, information-rich responses, drawing from a vast database of sources for users who require depth and reliability in their queries. In contrast, ChatGPT, leveraging OpenAI’s GPT models, is well-known for its enormous range of capabilities, from creating text to mimicking nuanced, human-like conversations. | Automation & Productivity | |
VentureBeat - Can generative AI help address the cybersecurity resource gap? | Today, there are pages and pages of technical documentation for almost every cybersecurity tool that exists on the market. Users often feel overwhelmed and need to rely on vendors to train them on how to use their solutions. Gen AI can be used to process and distill that same information into something very precise and meaningful for the user. | AI/Security |
SiliconANGLE - Adobe Summit highlights personalization at scale with generative AI | Adobe’s efforts in promoting content authenticity and combating misinformation were also a major theme, highlighted by its lead in the Coalition for Content Provenance and Authenticity, or C2PA. This initiative, aimed at establishing content provenance, is pivotal in the era of deep fakes and misinformation. Additionally, Adobe’s advancements in AI have enabled unprecedented levels of personalization at scale, through initiatives like GenStudio, which democratizes marketing across various channels. | Automation & Productivity |
Information Week - What Is AI TRiSM, and Why Is it Time to Care? | How, for instance, do you vet all of the incoming volumes of data from research papers all over the world that your AI might be analyzing in an effort to develop a new drug? Or how can you ensure that you are screening databases for the best job candidates if you are only using your company’s past hiring history as your reference? | AI/Security |
Forbes - The Key Role Of Automation In AI Hardware Recycling | Data centers contribute to the 50 million tons of electronic and electrical waste (e-waste) produced worldwide every year, but only 20% is recycled. That puts millions of servers and related equipment directly into landfills where they can leach lead, mercury and cadmium. | Sustainability |
diginomica - Why I can see an AI South Sea Bubble about to pop... | I suspect that not many companies will want to be an early adopter once they realise their early experiments can become the training materials for their competitors that follow after. And when they then start seeing the bills for the only alternative – their own implementation – the urge to follow their AI dreams may at least get deferred, or put on the unlit back-burner. | AI |
Forbes - Three Things You Must Do To Innovate Responsibly With AI | Do this on an organizational level as well. That means evaluating the skills you and your employees will need to become AI-ready and making sure virtually every department in your organization is actively learning and experimenting responsibly. You’ll quickly find that once your employees understand the responsible use of AI, they’ll start to come up with ways to do what you do faster, better and more efficiently. | AI Ethics |
Computerworld - AI is on a fast track, but hype and immaturity could derail it | Machine learning tools are only as good as the data they’re trained with. Companies are finding that the millions of dollars they've spent on genAI have yielded lackluster ROI because their data is filled with contradictions, inaccuracies, and omissions. Plus, the hype surrounding the technology makes it difficult to see that many of the claimed benefits reside in the future, not the present. | AI |
ZDNet - This year's top 8 use cases for AI, and what tech professionals need to support them | Organizations need people with the skills to design, build, deploy, secure, and maintain such applicators -- and 46% of respondents say they need more of these people. That demand includes software developers with AI expertise (44%), machine-learning engineers (42%), data analysts (41%), data engineers (41%), and data governance and security specialists (40%). | AI/Tech Jobs |
Forbes - Maximizing AI ROI: 3 Tips To Advance From Experimentation To Business Value | Regardless of where their organization is at, we hear from leaders around the world that value realization from AI is a top priority to drive business growth as well as operational efficiencies. Yet, new research from Microsoft finds just three percent of organizations in the Exploring stage and only 15 percent of organizations in the Planning stage are reporting significant value or consistently high ROI from their investments in AI | AI |
diginomica - AI - two reports reveal a massive enterprise pause over security and ethics | According to PagerDuty, unease over these issues keeps more than half of respondents (51%) awake at night, with nearly as many concerned about the disclosure of sensitive information (48%), data privacy violations (47%), and social engineering attacks (46%). They are right to be cautious: last year, diginomica reported that source code is the most common form of privileged data disclosed to cloud-based AI tools. | AI Ethics |
Yahoo!tech/Business Insider - We're entering the age of AI BS | Even the Big Tech companies that are really moving and shaking in AI are on shifty ground at times. Tech giants such as Google, Amazon, and Microsoft are telling sales executives to hold their horses on how they're pitching their generative-AI capabilities to clients, The Information reported. Just because you layer AI into your offering doesn't mean it's actually helpful to your customers in a way that makes a significant portion of them willing to pay a lot for it. | AI |
Network World - Beware the gap between security readiness and confidence levels, Cisco warns | The Cybersecurity Readiness Index measures security levels as beginner, formative, progressive and mature, and it tracks stages of security implementations including identity intelligence, machine trustworthiness, network resilience, cloud reinforcement, and AI fortification. Nearly 71% of the companies in the survey fall in the beginner and formative levels of security preparedness. | Security |
CISOs and the enterprises they protect have good reason to be cautious and block a record amount of AI/ML transactions. Attackers have fine-tuned their tradecraft and now have weaponized LLMs to attack organizations without their knowledge. Adversarial AI is also a growing threat because it is a cyber threat no one sees coming. | AI/Security | |
Computerworld - Will a Google-Apple deal kill Microsoft’s AI dominance? | At the same time, Microsoft is moving with lightning speed to extend its AI lead, hiring the best AI minds in the business, furiously racing to launch improved versions of Copilot, and starting to monetize it. | AI |
In 2023, a class action lawsuit accused UnitedHealth of illegally using an AI algorithm to turn away seriously ill elderly patients from care under Medicare Advantage. The lawsuit blamed naviHealth’s nH Predict AI model for inaccuracy. UnitedHealth told StatNews last year that the naviHealth care-support tool is not used to make determinations. “The lawsuit has no merit, and we will defend ourselves vigorously,” the company stated. | AI Ethics | |
Computer Weekly - GTC 2024: Storage suppliers queue up to ride the Nvidia AI wave | Core to Nvidia’s message at GTC 2024, delivered by CEO Jensen Huang, is a shift in the computer industry based around AI workloads and their tendency towards generation of data rather than retrieval of data. Of course, there is a fair bit of retrieval in AI, as data is sucked into training runs. | AI/Data |
The adoption of unmanaged devices was also highlighted, with 85% saying their employees access company platforms from unmanaged devices and 43% of those spend 20% of their time logged onto company networks from unmanaged devices. Additionally, 29% reported that their employees hop among at least six networks over a week. | Security | |
TechCrunch - AI and data infrastructure drives demand for open source startups | Hitting top-spot in the ROSS Index for last year was LangChain, a two-year-old San Francisco-based startup that has developed an open source framework for building apps based on large language models (LLMs). | AI/Data |
Computerworld - Q&A: Udemy online education exec on tech layoffs and skills needs | While there are still more tech job openings than tech workers available to fill them, job-seeking technologists need to tweak their industry knowledge to get hired. Internally, enterprises are upskilling and reskilling workforces to address a flurry of genAI projects, even as most are still pilots. Not surprisingly, creating, training and securing genAI is becoming a top skill to possess. | Tech Jobs |
VentureBeat - Companies are about to waste billions on AI — here’s how not to become one of them | “Why us?” Working on something that commoditizes over time is no fun, especially when you don’t have the scale/cost advantage. Take it from me. The only ones who will definitely benefit are Nvidia and AWS/Azure. The only way around this is to focus on something where you have a defensive moat. Preferential access to data, proprietary insights around a use case, or an application with strong network effects where you have a head start. | AI |
“Your data infrastructure can make or break any investment in this technology, and it’s a struggle business leaders are quickly realizing,” the ZoomInfo report states. “Mismanaged databases, a CRM riddled with holes, or outdated information feeding your algorithms can result in costly, irreparable damage that’s extremely tricky to not only catch, but fix.” | Tech Jobs | |
Computerworld - Most in-demand skills for 2024 — hint, genAI is at the top | “Adaptability is the best way to have agency right now," Raman wrote in a recent blog post. "I think in a moment of big change like we’re living through now, the thing we all most want is not just a way to understand it, but a way to manage it. Communication, creativity, [and] adaptability are even more valuable than AI skills.” | Tech Jobs |
The fear that we are becoming submerged in the synthetic is of course not unfounded. Since 2022, AI users have collectively created more than 15 billion images. To put this gargantuan number in perspective, it took humans 150 years to produce the same amount of pictures before 2022. | AI Ethics | |
ZDNet - Google's VLOGGER AI model can generate video avatars from images - what could go wrong? | AI diffusion introduces noise into an image and reconstructs the original image to train a neural network to find the rules by which it was constructed. Diffusion is the root of the impressive image-generation process in Stability AI's Stable Diffusion and OpenAI's DALL-E. It's also how OpenAI creates slick videos in Sora. | AI Ethics |
Instead of resorting to conflictual relationships, labor unions in the US must work with employers to support firm automation while simultaneously advocating for worker skill development, creating a competitive business enterprise built on strong worker representation similar to that found in Germany. | Automation & Productivity | |
VentureBeat - Why adversarial AI is the cyber threat no one sees coming | An overwhelming majority of IT leaders, 97%, say that securing AI and safeguarding systems is essential, yet only 61% are confident they’ll get the funding they will need. Despite the majority of IT leaders interviewed, 77%, saying they had experienced some form of AI-related breach (not specifically to models), only 30% have deployed a manual defense for adversarial attacks in their existing AI development, including MLOps pipelines. | AI/Security |
ZDNet - AI is changing cybersecurity and businesses must wake up to the threat | Lee urged boards to understand the work of their CIO and CISO and determine how effective these executives are in their roles. To have a "well-oiled machinery" running, boards need to be able to have open discussions with the two people responsible for identifying and defending the company against online threats, he said. | AI/Security |
sdxCentral - AI data-quality issues cost enterprises hundreds of millions | “As companies rush to adopt generative AI [genAI], they continue to face major issues with inaccessible and unreliable data,” Fivetran Field CTO Mark Van de Wiel told SDxCentral. The research found 69% of organizations struggle to access all the data needed to run AI programs, and 68% struggle to cleanse their data into a usable format. | AI/Data |
Computerworld - Which genAI chatbots are the most popular now? | “IDC expects that copilots [lower-case ‘c’] will proliferate over the next several years and will eventually become the standard interface for most software products, like web interfaces are today,” the firm said in a new report. | Automation & Productivity |
The container can include any type of model, ranging from open to proprietary models, that can run anywhere there is an Nvidia GPU — be that in the cloud, or even just in a laptop. In turn, that container can be deployed anywhere a container can run, which could be a Kubernetes deployment in the cloud, a Linux server or even a serverless Function-as-a-Service model. Nvidia will have the serverless function approach on its new ai.nvidia.com website, where developers can go to begin working with NIM prior to deployment. | GenAI | |
SiliconANGLE - Snowflake documents huge growth in AI projects | Python is now the overwhelming favorite language for AI and analytics development, with usage growing by 571% over the past 12 months. Close behind is Scala, with 387% year-over-year growth. Java, which dominated a year ago, grew a respectable 131% but has been eclipsed by Python. “Growth in Python is coming at the expense of Java,” | AI/Data |
While the broader translation industry saw declines in 2023, Smartling’s translation business achieved a remarkable 40% growth rate last year, which is accelerating further in 2024. What’s driving this standout performance? The company’s pioneering use of AI to deliver human-quality translations at half the cost and 10 times faster than traditional approaches. | Automation & Productivity | |
Data Science Central - The evolution of large scale data storage solutions | The future and ongoing evolution of data storage is poised at the edge of innovation, with emerging technologies like holographic and DNA data storage heralding a new era of possibilities. These advanced technologies promise exponential increases in storage capacities while reducing the physical footprint of data centers. Additionally, artificial intelligence (AI) and machine learning (ML) will be key in enhancing data storage, management, and retrieval processes. | Data Storage |
Artificial intelligence is a powerful tool, yet harnessing its inherent capabilities can be a challenging and, in some cases, overwhelming task. Still, there are several best practices that can help newcomers overcome many of AI’s biggest roadblocks. | AI | |
Computerworld - AI to create a half billion new jobs — here’s why | Mark Kashef, an AI consultant and prompt engineer on Fiverr, an online freelance marketplace, believes genAI will create jobs that today can’t even be imagined. Areas such as AI development, data analysis, and AI ethics are all fields likely to see a boom because of genAI adoption. | Tech Jobs |
ZDNet - The best AI chatbots: ChatGPT isn't the only one worth trying | When I use a chatbot, I typically reach for Copilot because I found that it solved two major issues with ChatGPT, including access to current events and linking back to the sources it retrieved its answer for free. It is also the only way to access OpenAI's most advanced LLM--GPT-4 Turbo--for free. | Automation & Productivity |
Tools such as IBM’s AI Fairness 360 (AIF360) can tell IT leaders to what degree their AI models are biased toward one group of people versus another. RagaAI’s tool, called RagaAI DNA, identifies biases in AI models by training on a multimodal data set. Organizations can custom-train RagaAI DNA to test product descriptions and customer reviews in retail, location data in geospatial applications, and medical records and images in healthcare. | AI Ethics | |
VentureBeat - Security expert Chris Krebs on TikTok, AI and the key to survival | “If it doesn’t get through, I think we have this outstanding issue of data security and data privacy in addition to the foreign propaganda piece and the potential for influence. So I still think, and I thought this for a decade now, is that we really do need a national or federal privacy law. “ | Security |
Network Computing - Cloud Adoption Soars as Organizations Navigate Challenges | Forty-one percent of the respondents said they are currently using artificial intelligence/machine learning (AI/ML); however, nearly half, 49%, are experimenting and planning to use ML/AL platform-as-a-service (PaaS) services. | Cloud |
Beyond its flagship content generation solution, ChatGPT, and image generation solution, DALL-E, OpenAI also offers its API and different generative AI models to support companies in their own AI development efforts. GPT-4, chat models, instruct models, fine-tuning models, audio models, image models, and embedding models can all be customized for a usage fee to meet individual business needs. | AI | |
“Businesses really want to use AI and large language models to accelerate their business decisions. It makes a lot of things really easy,” he said. “You can kind of put some prompts in and get some information back, and then you can make decisions based on that. But at the same time, it’s actually a really traditional problem. Having visibility of where your data is and what systems are using that data is something we’ve been doing in the security industry for a really long time.” | AI/Data | |
Computerworld - Generative AI will drive a foundational shift for companies — IDC | Through 2025, 75% of organizations are expected to create AI implementation review boards; 40% will be looking to increase their outsourced AI services, including AI delivery; and 40% of new applications are expected to be more intelligent, as developers incorporate genAI to enhance existing and new use cases, according to a recent CIO survey by IDC. | GenAI |
“You’ll see the CNCF community probably take charge of the generative AI, because as we’ve been saying, the democratization of the data side is not going to be by the data scientist. It’s going to be by the AI itself,” said Furrier. The result, said Alessya Visnjic, co-founder and chief executive officer of WhyLabs Inc.: “The power of creating AI applications is now in the hands of any developer.” | AI/Data | |
Network World - Why edge computing is both hyped and ignored | But wait. Does that mean your smartphone will be replaced by the cloud? How about your PC? We’ve had virtual PCs for several decades now, but in the almost-three-thousand user conversations I’ve had over the last year, I never had a single one where the user was running a virtual PC instead of a real one. People want more stuff running in their phones, not less. In all those latency-sensitive verticals I’ve assessed, in all those conversations, across over four hundred enterprises, how many have replaced their real-time, industrial-strength, on-premises applications with cloud applications? None. | Edge Computing |
Datanami - Highlights from the Gartner Data and Analytics Summit in Orlando, FL | Gartner expects CDAOs and D&A leaders to become indispensable. However, they can expect their roles to become more complex as they gain more access to data and budgets. While they still need to take ownership of foundational capabilities of data and analytics strategies, they must reinvent themselves as drivers of business innovation. If they don’t take on this new role, they might find themselves becoming irrelevant. | Data & Analytics |
Forbes - Business Transformation And Managing The Pace Of Change | This might seem obvious, but employees have a strong desire for visible leadership. There is value in having an individual represent a company’s vision and strategy; someone who can and is telling the story of the company and the goals of artificial intelligence in the business. | Leadership |
Datanami - Three-Quarters of Organizations Have Reached High Levels of AI Maturity, LXT Survey Finds | This latest report found that organizations have taken large steps, with nearly three-quarters (72%) reporting that they have reached higher levels of AI maturity. The most significant shift is in the mid-range, where nearly a third of companies state that AI is now in production and creating value. To achieve this, half of all organizations invest between $1 million and $50 million, and more than ten percent reported an AI budget between $50 million and $500 million. | AI |
Computerworld - AI hallucination mitigation: two brains are better than one | In other words, genAI’s natural language processing has no transparent rules of inference for reliable conclusions (outputs). What’s needed, some argue, is a “formal language” or a sequence of statements — rules or guardrails — to ensure reliable conclusions at each step of the way toward the final answer genAI provides. Natural language processing, absent a formal system for precise semantics, produces meanings that are subjective and lack a solid foundation. | AI Ethics |
SiliconANGLE - Accelerating AI with real-time analytics: Startups on ‘the growth curve’ weigh in | Universal data lakehouses serve to unify data from diverse sources, catalyzing AI innovation as a result. The challenge, however, lies in bridging the gap between transactional databases, event streams and vast data lakes, necessitating a comprehensive solution. | Data & Analytics |
SupplyChainBrain - Implement iPaaS to Become a Data-Driven Enterprise | Where SaaS grants access to software applications via the cloud, iPaaS focuses on integrating and orchestrating data flows across various software systems, encompassing services offered by SaaS, such as ERP, CRM, WMS, billing, and sales applications within a single platform. It’s also worth noting that iPaaS isn’t confined to cloud-based solutions; it also extends integration to on-premises systems. | Data Management |
Information Week - A Lesson in Nightshade and Defenses Against GenAI Content Abuses | One way of restricting scraping includes the Robots Exclusion Protocol, which can be included in the coding of websites to instruct bots and crawlers on what parts of a site they can and cannot look at. This assumes the creators of the bots care about compliance with such voluntary protocols. | AI Ethics |
The BlackBerry Threat Research and Intelligence team also registered a 27% uptick in novel malware. Novel malware, as opposed to off-the-shelf, widely available commodity malware, refers to new, previously unseen types of malicious software that are often designed to evade detection by traditional cybersecurity measures. | Security | |
Network World - AI drives Ethernet switch buying, IDC reports | “Wi-Fi remains a critically important technology for organizations across the globe, and with the Wi-Fi 6E and Wi-Fi 7 standards enabling Wi-Fi to use the 6 GHz band, a range of enhanced use cases are being supported,” Butler said. “Wi-Fi 6E access points grew to make up just under a quarter (23%) of enterprise-dependent AP sales in the fourth quarter of 2023, indicating the continued rapid adoption of Wi-Fi 6E technology.” | Network Management |
SiliconANGLE - Harnessing generative AI for global profit growth: CalypsoAI’s approach | “It’s become easier and easier for anyone and everyone inside an enterprise to use generative models,” Serebryany said. “What ends up becoming more and more important as you have more and more models is how you control how those models are orchestrated, how you control how those models are used and how you control the input and output data.” | GenAI |
ZDNet - What is Copilot (formerly Bing Chat)? Here's everything you need to know | With Copilot, you can ask the AI chatbot questions and get detailed, human-like responses with footnotes that link back to the original sources. Since the chatbot is connected to the internet, it can provide you with up-to-date information, which is another capability ChatGPT's free version doesn't boast. | Automation & Productivity |
Third-party browsers have been supported in iOS since version 14. What's changed is that Apple must now offer EU users a choice of which browser becomes the default when they use their device. Apple clearly didn’t want to do this as WebKit (which drives Safari) is fundamental to many of the technologies and solutions the company packs inside its iPhones. (I think it’s likely to stay that way.) | Automation & Productivity | |
The second vulnerability was within PluginLab, a framework developers and companies use to develop plugins for ChatGPT. During installation, Salt Labs researchers found that PluginLab did not properly authenticate user accounts, allowing a prospective attacker to insert another user ID and get a code that represents the victim, which can lead to account takeover via the plugin. | Security | |
Information Week - Can Anyone Be a Realistic Competitor for OpenAI? | Myriad smaller startups are entering the market with GenAI-driven platforms and tools. But the billions that big tech companies have at their disposal put them ahead in the game. “I think it's very hard for a hyperscaler today to see any startup as a competitor,” says May Habib, the CEO and co-founder of Writer, a full-stack generative AI platform, contends. | AI |
Information Week - 10 Enterprise AI Startups to Watch in 2024 | News of relatively new companies getting huge investment boosts have become daily updates as companies race to get in on the AI gold rush. It’s hard not to think of the dot com explosion of the 1990s. With daily AI headlines fighting for attention, it can be hard to separate noteworthy startups. For businesses, finding the right use cases will be key to unlocking AI’s enterprise potential. | AI |
Network World - Omdia: Servers for AI processing are big sellers | “Delaying server refresh has freed up capex funds for AI clusters,” Omdia’s analysts wrote. “We anticipate that were they to reach 7 years, a set of formal disclosures will be made. Using equipment which is already amortized positively benefits the balance sheets of companies.” | Automation & Productivity |
AiThority - Open and Transparent AI Implementation is the Key to Trust | Another finding of the study is that governments would have a tough time gaining citizens’ trust in AI-powered tools and services. Just over 20% of people say they have greater faith in AI-powered services than they do in more conventional human-assisted ones, while nearly 50% say the opposite. | AI |
Harvard Business Review - Why Adopting GenAI Is So Difficult | First, many businesses, large and small, are still grappling with how to integrate traditional AI — such as rule-based algorithm and machine learning — into their operations. At best, they are in an exploratory phase with traditional AL, and at worst they’re simply feeling lost. A recent study suggested that more than 70% of the large companies surveyed were still wondering how to reap the potential benefits that AI can offer. | GenAI |
ZDNet - Generative AI will change customer service forever. Here's how we get there | Mistakes can come back to embarrass the company that builds the generative AI system. In a recent example at Chevrolet, an AI-enabled bot told customers false information that resulted in financial loss. A North American airline, meanwhile, attempted to make the legal argument that its bot was a separate entity whose answers were not the company's responsibility. | GenAI |
Information Week - Ripples of Innovation and New Business Needs from GenAI's Splash | GenAI’s impact also set off ripples across ancillary hardware and software sectors that sought to respond to new needs and questions that arose in relation to the technology. Where are the chips that can support AI in devices? What kind of oversight and observability is needed in the use of GenAI? Is there room for newcomers or will incumbents dominate the data and resources that support AI? | GenAI |
SiliconANGLE - Report: Automakers might be secretly selling your driving data to insurance companies | Car companies have been selling their customers’ detailed driving behavior data to third-party brokers, possibly affecting the owners’ insurance premiums, according to a New York Times exposé published today that asks serious questions about privacy within the internet of things. | Data Privacy |
Information Week - Special Report: What's Next for the GenAI Market in 2024? | However, there aren’t just new generative AI companies themselves growing; there are industries growing in reaction to AI. IT departments -- recognizing that their hardware might not be up to the task of running AI workloads -- are looking for AI chips. Businesses are readying themselves for AI-related legal challenges, privacy compliance snags, and ethical quagmires by seeking specialized services. (Quite possibly there will be cyber incident response companies touting their enterprise “singularity defense management” platform before 2025.) | GenAI |
VentureBeat - State Dept-backed report provides action plan to avoid catastrophic AI risks | The report focuses on two key risks: weaponization and loss of control. Weaponization includes risks such as AI systems that autonomously discover zero-day vulnerabilities, AI-powered disinformation campaigns and bioweapon design. Zero-day vulnerabilities are unknown or unmitigated vulnerabilities in a computer system that an attacker can use in a cyberattack. | AI/Security |
InfoWorld - How generative AI will change low-code development | One of my points was that today’s code generators may evolve the software development lifecycle (SDLC) into a manufacturing process where developers prompt for application components and assemble them into applications and services. That may sound futuristic, but code generators are already making significant impact. GitHub found that 88% of developers reported improved productivity, 74% focused on more satisfying work, and over 87% said they completed tasks faster using GitHub Copilot. | AI/DevOps |
VentureBeat - Why we need to move away from anthropomorphic naming conventions in AI | All that to say, female-gendered names given to AI bots that you control can lead to confirmation bias and reinforce the idea that women are subservient to men. This is not merely an implication. Furthermore, the use of anthropomorphic conventions in naming AI can affect its perceived potential to harm, as it begins to appear to have a “mind of its own.” | AI Ethics |
Harvard Business Review - Why Adopting GenAI Is So Difficult | First, many businesses, large and small, are still grappling with how to integrate traditional AI — such as rule-based algorithm and machine learning — into their operations. At best, they are in an exploratory phase with traditional AL, and at worst they’re simply feeling lost. A recent study suggested that more than 70% of the large companies surveyed were still wondering how to reap the potential benefits that AI can offer. | AI |
Information Week - IT’s Waste Management Job With Software Applications | In 2023, SaaS management firm Zylo reported that “44% of businesses' SaaS licenses were wasted or underutilized and that the average organization was wasting $17 million in unused SaaS licenses every year.” Zylo went on to say, “Enterprise organizations (10,000 employees+) spend over $224M on SaaS but only utilize 50% of their SaaS licenses.” Zylo added that “70% of SaaS application contracts were renewed in 2023, despite being underutilized.” | IT Management |
ZDNet - Generative AI on its own will not improve the customer experience | As many as 90% say difficulty integrating AI with other systems is a barrier, followed by 79% reporting security concerns. But perhaps the biggest barrier to AI adoption is a mix of data silos and systems fragility holding companies back. Almost universally, 98% of IT leaders report facing challenges regarding digital transformation. | AI |
Network Computing - How to Securely Access Customer Networks With BYOC | To address these challenges, a new architecture has emerged called Bring Your Own Cloud (BYOC). BYOC means that the data plane portion of the SaaS vendor’s software stack is deployed into their customers’ environment to store, process, and analyze customer data. The control plane consists of all the backend services and computational resources required to configure and manage data sets in the vendor’s network, and it runs in the SaaS vendor’s cloud environment while connecting to the BYOC data plane that runs in the customer’s network via APIs | Data Management |
In 2017, Google laid the foundation for the generative AI we use today when the company first proposed a neural network architecture called the Transformer. With transformers, it became possible to create higher-quality language models that could be trained more efficiently and with more customizable features. At this time, tools with predictive text and simple AI chatbots began to emerge and mature sparsely. | GenAI | |
VentureBeat - Large language models exhibit significant Western cultural bias, study finds | A new study by researchers at the Georgia Institute of Technology has found that large language models (LLMs) exhibit significant bias towards entities and concepts associated with Western culture, even when prompted in Arabic or trained solely on Arabic data. | AI/LLMS |
tech.co - What Is Mistral AI? Le Chat and Mistral Large Explained | Mistral AI is making a splashy entrance into the already-packed battle for AI hegemony, alongside more established competitors including Google Gemini, Claude, Copilot Pro, and many others. What makes it stand out? Mistral is claiming that its most powerful model, Mistral Large, is second only to ChatGPT 4 Turbo. | AI |
GeekWire - AI’s trust problem: Richard Edelman on the risk from the tech industry’s rapid rollouts | “But if we rush this, if we put it out in a way where government isn’t seen as being able to regulate because it can’t keep up, or if it’s seen as done without context where there’s reskilling or upskilling to take care of people whose jobs are going to end, then we’re going to have a populist reaction.” | AI |
Computerworld - Researchers, legal experts want AI firms to open up for safety checks | The letter was sent to companies including OpenAI, Anthropic, Google, Meta, and Midjourney, and asks them to allow researchers to investigate their products to ensure consumers are protected from bias, alleged copyright infringement, and non-consensual intimate imagery. | AI Ethics |
The Verge - The EU’s new competition rules are going live — here’s how tech giants are responding | The EU has designated six companies as gatekeepers, which it defines as large digital platforms providing “core” services like app stores, search engines, and web browsers. The DMA’s restrictions apply to specific services within these companies: Alphabet, Amazon, Apple, ByteDance, Meta, and Microsoft. Here’s what each has been doing to meet — and fight — those demands. | Digital Management |
sdxCentral - Assessing the post-quantum threat – 3 tips to be ready | A fully functional quantum computer capable of breaking current cryptographic systems is not yet a reality. The threat is imminent enough, however, to cause some to take action in anticipation of nation state and other threat actors gaining access to quantum computing. The idea of hackers using a “harvest now, decrypt later” tactic poses an immediate risk. Adversaries could be collecting encrypted data with the purpose of decrypting it once quantum computing becomes sufficiently advanced. | Quantum Computing |
CIO Influence - The ChatGPT Revolution is Coming for Compliance | Business heavyweights from Goldman Sachs to Apple – many of which have banned employees from using ChatGPT – have joined a call to rein in generative AI development over fears of misinformation and replacing human labor, as well as cybersecurity concerns. Any tool that possesses the capability to undermine data privacy, leak source code, and compromise compliance and regulatory performance through “automated decision-making” is the last thing many business leaders want to see in the pipeline. | AI/Security |
Data Center Frontier - How AI Is Affecting Data Center Networks | "With growing demands from large language modeling, HPC simulation, and AI training in hyperscale data centers, network boundaries are crossing over the Terabits per second threshold," notes Peter Jones, chairman, Ethernet Alliance. "The availability of development tools capable of meeting these needs is critical to the success of next-generation Ethernet standards addressing this market." | Network Management |
Grokking is just one of several odd phenomena that have AI researchers scratching their heads. The largest models, and large language models in particular, seem to behave in ways textbook math says they shouldn’t. This highlights a remarkable fact about deep learning, the fundamental technology behind today’s AI boom: for all its runaway success, nobody knows exactly how—or why—it works. | AI/LLM | |
Datanami - Reveal Survey Report: AI Integration is Biggest Software Challenge of 2024 | However, those who have not jumped on the AI bandwagon cite concerns such as: generative AI code lacks the creativity and innovation of human developers, AI can produce code with security vulnerabilities, and code developed with AI may contain errors, bugs, or inefficiencies. There is also a concern that AI might make the developer’s role obsolete. | AI |
The Verge - Microsoft’s Mistral deal beefs up Azure without spurning OpenAI | The company invested €2 billion ($2.1 billion) into Mistral and announced it would bring Mistral’s newest AI model, Mistral Large, to Azure. But the investment into Mistral, mainly a developer of open-source AI models, doesn’t mean Microsoft lost faith in its first AI child, OpenAI. Instead, Microsoft is laying the groundwork to build Azure as a model garden and give itself a foothold in Europe. | AI |
The current economic climate also increases cyber risks, particularly insider threats. Threat actors take advantage of layoffs by targeting companies that have reduced their cybersecurity teams: ISC2 found that “those at companies that have had layoffs in cybersecurity are three times more likely to have been approached to act as a malicious insider.” | AI/Security | |
For decades, I’ve listened to sales management tell the sales force to avoid consultative selling, avoid “educating” the customer. Make your darn numbers, sales management says. For decades (six, in fact) IBM has taken another path. They used to hand out notebooks to people, emblazoned with one word: Think. I’ve sat in on CIO/CTO-level meetings that included IBM’s account teams, and I was struck by how much the team worked to draw out that thinking. And not just thinking about technology, thinking about how technology changes business. | Automation & Productivity | |
Information Week - Squeezing the Maximum Value Out of Generative AI | Before LLMs, organizations needed to perform complex text analytics in order to get value out of unstructured text data, such as maintenance records or shift logs in a production environment. “LLMs can be used to structure text data and prepare it as inputs for machine learning models used for production optimization and predictive maintenance.” | AI/Data |
Forbes - Three Custom AI Solutions To Implement To Increase Efficiency In 2024 | So far, based on Deloitte's analysis, most organizations are primarily relying on off-the-shelf generative AI solutions. Yet with the increasing specialization, differentiation, and strategic nature of GenAI applications, the development methodologies and technological infrastructure are expected to evolve accordingly. | Automation & Productivity |
ZDNet - 5.5G touted as the network to bring improved enterprise connectivity | The technology offers speeds 10 times higher than 5G, delivering peak uplink rates of 1Gbps and downlink rates of 10Gbps. He noted 5.5G also improves on three of 5G's features, namely enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communications. | 5G |
Data Science Central - GenAI: The User Interface to Artificial Intelligence (AI)? | Don’t become complacent by the GenAI productivity promises because faster doesn’t always mean better, more accurate, or less risky when reengineering or transforming operational processes and business models. | Automation & Productivity |
SiliconANGLE - The unplanned genius of Broadcom’s route to AI dominance | Broadcom is positioned in the middle of the AI capital expenditure buildout, as are the hyperscalers, which are a major part of Broadcom’s business. The world, as John Furrier put it, has “just spun in Broadcom’s direction…. People changed their data center to a cloud operating model. Now they’re extending their cloud, hybrid, on-premises and edge deployments, including device mobility.” | AI |
For example, Boston Consulting Group (BCG) and Intel have teamed up to create an AI model trained on BCG’s confidential data, spanning over 50 years. BCG employees can now retrieve and summarize information that was previously difficult to find using a chatbot powered by Intel AI hardware and software while keeping the data private. | AI | |
IBM Cloud Pak for Data is an integrated data and AI platform that helps organizations accelerate their journey to AI-driven insights. Built on a multicloud architecture, it provides a unified view of data and AI services, enabling data engineers, data scientists, and business analysts to collaborate and build AI models faster. | AI Governance | |
sdxCentral - Google Cloud optimizes databases, data analytics for genAI | The hyperscaler shared the general availability of AlloyDB AI, which is designed to simplify the process of building enterprise-grade genAI applications. The AI database platform can run on-premises or in any public cloud environment and is ideal for transactional, analytical and vector workloads. | AI/Data |
eWeek - GitHub Copilot vs. ChatGPT: Ultimate AI App Comparison | GitHub Copilot doesn’t do any of this, but it isn’t designed to. Rather than trying to be everything ChatGPT attempts to be, GitHub Copilot focuses — deeply and effectively — on its role as an AI assistant for software coding. However, it’s important to note that this AI assistant interface works similarly to a chatbot, as users can request code improvements, completions, and more in a chatbot interface with natural language. | Automation & Productivity |
VentureBeat - Generative AI and the big buzz about small language models | In contrast, SLMs consume fewer computing resources than their larger brethren and provide surprisingly good performance — in some cases on par with LLMs depending on certain benchmarks. They’re also more customizable, allowing organizations to execute specific tasks. For instance, SLMs may be trained on curated data sets and run through retrieval-augmented generation (RAG) that help refine search. For many organizations, SLMs may be ideal for running models on premises. | AI/LLMs |
By 2030, companies will spend $42 billion a year on generative artificial intelligence (genAI) projects such as chatbots, research, writing, and summarization tools. And while the technology has been heralded as a boon to productivity, nailing down a return on investment (ROI) in genAI could prove to be elusive. | Automation & Productivity | |
SiliconANGLE - How synthetic data powers AI innovation – and creates new risks | Synthetic data is information that’s artificially created by computer algorithms instead of gathered from real-world events and is generally used to test and train artificial intelligence models. It’s most often generated based on real-world information and is designed to mimic it as closely as possible. But at the same time, it allows for reducing risks associated with the original data or filling in gaps missing in real-world data. | AI/Data |
VentureBeat - Why does AI have to be nice? Researchers propose ‘Antagonistic AI’ | This has led to growing disillusionment: Some LLMs are so “good” and “safe” that people aren’t getting what they want from them. These models often characterize “innocuous” requests as dangerous or unethical, agree with incorrect information, are susceptible to injection attacks that take advantage of their ethical safeguards and are difficult to engage with on sensitive topics such as religion, politics and mental health, the researchers point out. | AI Ethics |
SciTechDaily - Revolutionizing Real-Time Data Processing: The Dawn of Edge AI | Edge computing receives a significant boost from a new optical device developed by researchers from the Tokyo University of Science, capable of real-time signal processing across various timescales. This device, demonstrating high classification accuracy on the MNIST dataset, represents a leap forward in efficient and cost-effective computing at the edge, offering a promising solution for applications requiring rapid data processing and analysis. | Edge Computing |
“This has been the main topic of interest in the last year. We see generative AI having impacts in multiple areas, such as script creation, knowledge-based article creation, NLP [natural language processing]-based querying of endpoint data, and help desk chatbots. All of these are considerations for inclusion within the UEM stack.” | GenAI | |
Network World - AI server market: cloud giants to command 60% demand in 2024 | The Trendforce report also highlighted an increasing move towards proprietary ASIC development by cloud giants such as Google, AWS, Microsoft, and Meta, driven by scalability and cost efficiency. Additionally, AMD is intensifying competition by offering products at 60%–70% of the cost of similar Nvidia models, adopting a more cost-effective strategy. | Cloud |
Computerworld - As workers embrace AI, employers are slow to issue guidance | One implication, said Slack, is that that employees are less likely to experiment with tools that could boost productivity. Workers at companies that have defined AI guidelines are almost six times more likely to have tried the tools, the survey indicated. Even staff at companies that limit the use of AI are more likely to try out the tools than those who work for companies with no guidelines. | Automation & Productivity |
Datanami - Reducing Cloud Waste a Top Priority in 2024, FinOps Foundation Says | The biggest FinOps spending is targeting compute instances, the survey shows, with more than 50% having already spent heavily to optimize compute. That leaves plenty of room for optimizing other aspects of cloud computing, the FinOps Foundation says, including data and storage, database, containers, backup and retention, data transfer and networking, and more. | Cloud |
VentureBeat - Why Meta’s V-JEPA model can be a big deal for real-world AI | The goal of V-JEPA, which stands for Video Joint Embedding Predictive Architecture, is to mimic the abilities of humans and animals to predict and anticipate how objects interact with each other. It does this by learning abstract representations from raw video footage. | AI |
Forbes - Saving Telco From Itself: Overcoming The Top 5 Challenges In 2024 | A common theme that is creating challenges across all of these industries is the rise of software, silicon and the edge as critical enablers—whether it’s the via disruption of AI, the re-working of operations around software development, deployment and support or the deconstruction of proprietary tech stacks into “open” hardware, software and services combinations. | Tech Trends |
SiliconANGLE - CAST AI report unveils major underuse of cloud resources in Kubernetes environments | That’s resulting in substantial inefficiencies and opportunities for cost optimization in cloud computing. The second annual CAST AI Kubernetes Cost Benchmark Report, based on the analysis of 4,000 clusters runnineb Services, Google Cloud Platform and Microsoft Azure, found that for clusters containing 50 to 1,000 CPUs, organizations only use 13% of provisioned CPUs and 20% of memory, on average. | Cloud |
TechBullion - From Payment Processing to Blockchain: The Hottest Fintech Startups to Watch | In the world of fintech, payment processing and blockchain technology have emerged as two of the hottest trends, revolutionizing the way we handle financial transactions. While payment processing is not a new concept, it has undergone significant advancements with the introduction of blockchain technology. | Blockchain |
Many of the buzziest IT trends — low-code automation, digital employee experience, and yes, even generative AI — are making their way into the major mobility management platforms. Here’s what to look for in 2024 and beyond. | Automation & Productivity | |
ZDNet - Beyond programming: AI spawns a new generation of job roles | Prompt engineering is also seen as a hot new job in the AI era. However, its long-term future as a professional pursuit is uncertain, says Tony Lee, CTO at Hyperscience: "I see it as a skill and expertise that is valuable and distinct. Is it a full-time job though? I'll leave that to the hiring company to decide." | Tech Jobs |
AiThority - ChatGPT Benefits: 1 in 4 Information Workers Use AI Tools Every Week at the Workplace | Of the information sector respondents surveyed, almost a third (31%) agreed that the technical abilities needed to use AI efficiently was a potential drawback, and a further 31% also saw bias errors in AI systems as a potential drawback. | ChatGPT |
sdxCentral - Data center demand geographically shifts in search of power | Generative AI (genAI) requires incredible amounts of power compared to general purpose computing, with some use cases demanding between 300 and 500 MW of electricity. New York and New Jersey saw the most substantial AI deployments in H2 2023. “The proximity to financial services firms and the network of AI talent have driven demand in those markets,” according to the report. | AI/Data |
CIO Influence - AI Security Imperatives for 2024: Collaboration Between Tech and Governments | Cisco’s recent findings from the Cybersecurity Readiness Index underscore a concerning reality: only a mere 15% of organizations demonstrate mature readiness to withstand cybersecurity threats, with a mere 22% adequately prepared to safeguard data. Concurrently, the 2023 Cisco AI Readiness Index reveals a stark truth: a staggering 86% of global organizations lack comprehensive readiness to integrate AI into their operations seamlessly. | AI/Security |
Computerworld - Microsoft, OpenAI move to fend off genAI-aided hackers — for now | The bad news: nation states have already begun using genAI to attack the US and its friends. The good news: so far, the attacks haven’t been particularly dangerous or especially effective. Even better news: Microsoft and OpenAI are taking the threat seriously. They’re being transparent about it, openly describing the attacks and sharing what can be done about them. | AI/Security |
“It’s important to have the right human intelligence upfront to manage the AI and to build it into the process. “Enterprises want to implement AI to make programs faster, but must first understand the intended result, the true result, as well as the problems that haven’t been addressed.” | Automation & Productivity | |
sdxCentral - Deloitte on Tech: Overcoming obstacles to business value on the road to generative AI | The survey revealed that some are already actively managing genAI implementation risks through actions such as monitoring framework for genAI (46%), and conducting internal audits and testing on Generative AI tools and applications (42%). | GenAI |
Network Computing - 5G is Moving Downstream to Enterprises—And Everyone Stands to Gain from It | The same survey showed that almost two-thirds of MNOs consider private wireless networks as an important part of their enterprise strategy. While not discounting considerable consumer interest in 5G-driven services for things like gaming on the go, B2B enterprise is clearly the strongest 5G opportunity for MNOs in 2024, driving 5G indoors through on-premises public and private 5G networks. | 5G |
Blocks & Files - Developing AI workloads is complex. Deciding where to run them might be easier | But connectivity is not simply an external concern. “Within the four walls of the data centre we’re seeing six times the cable requirements [as] customers are connecting their GPUs, the CPUs, the network nodes. …. so, where we had one cable tray for fibre runs, now we have six times those cable trays, just to enable that.” | AI |
Importantly, to help, Energy & Resources companies to navigate data-related challenges, including unclear data calculation and, critically, a lack of insights, IBM is highlighting its watsonx.governance toolkit for AI governance which allows a Utility company to direct, manage and monitor its AI | AI/Data | |
The AI identifiers were divided into “human-facing disclosure methods,” such as visible labels on images, and “machine-readable methods,” such as invisible changes to an image’s code, known as “watermarks.” The researchers found that the tools fell short of what was needed to counter the sharing of AI-generated images designed to deceive the public, also known as “deepfakes.” | AI Ethics | |
Network World - It’s time for collaboration, not abusive positioning, telco leaders tell MWC | He highlighted 5G, artificial intelligence (AI), and the cloud as the main drivers of growth and called for “continued investment in new technology.” He also applauded the rapid adoption of the Open Gateway initiative, which seeks to streamline telecommunications networks and open them up to developers. In just 12 months, 47 operators have joined the project, representing 239 networks and over 65% of global mobile connections. | Tech Trends |
sdxCentral - Red Hat, Nvidia, NTT, Fujitsu power AI analysis at the edge | As artificial intelligence (AI), sensor technology and networking architectures continue to evolve, AI analysis will be crucial for assessing and triaging at the network edge. But AI analysis at a large scale can be slow, expensive and complex. By running AI analysis closer to the edge, bandwidth increases, latency lowers and the potential for innovation expands. | AI |
Forbes - Unraveling The Four-Dimensional Equation Of The Modern Data Landscape | While some aspects, like data growth, are inevitable as companies grow, the challenge becomes how to make all this data more accessible and meaningful. Traditional data lakes, although initially designed to handle this growth, have become data swamps, collecting endless amounts of data that people need help with. Instead of utilizing it in real time, the data collects dust, hindering real-time analytics. | Data Management |
Information Week - How to Ready Your Company for The Cloud Revolution in 2024 | By the end of the year, the world's first zero-touch call centers will likely be unveiled -- a testament to the strides made in GenAI. These centers will be equipped to perform tasks that surpass the abilities of traditional chatbots, such as handling customer histories, inventory management and sensitive communication tasks, all enhanced by advanced natural language processing. | Cloud |
Forbes - Lessons From The Insurance Industry: Six Keys To Developing An Effective Data Strategy | Any path toward an effective data strategy begins with knowing where your data originates and the types of data you’re collecting. Consider whether you can combine data sources or if it’s time to retire others. Your initial understanding sets the stage for a more far-reaching and well-informed approach to the data’s ultimate deployment. | Data Management |
Network Computing - Why Businesses Should Watch Wi-Fi-7 Closely | Wi-Fi 7 products offer significantly more performance for enterprise users and can support more users in denser environments compared to Wi-Fi 6. It is pitched as a match for streaming applications and is able to handle more users per Access Point (AP), which translates into fewer devices to manage and maintain in deployments. | Network Management |
SaaS management is often referred to as a team sport. When it’s done right, it’s the joining of forces of the IT and finance organizations. This partnership makes sense, as these teams have a common goal of efficiency. While CFOs approach efficiency from a purchasing and cash flow perspective, CIOs are focused on maximizing investments and software utility. | IT Management | |
SiliconANGLE - Dissecting the AI boom through the dotcom lens | Like all waves, there are also major differences. Two of the most evident are the speed of innovation and the quality of today’s companies leading the AI charge. Like the internet, AI will be ubiquitous and available for virtually all organizations to leverage, not just traditional tech firms. As well, many patterns of the dotcom era are repeating and worth examining in more detail. | AI |
To support organizations in their move to this model, Garter has developed PIPE (practices, influences, platforms, enablers), a framework guiding practices not traditionally used in security awareness programs — such as organizational change management, human-centric design practices, marketing and PR and security coaching. | AI/Security | |
SiliconANGLE - Organizations need a business-driven AI strategy, not a CAIO | Given the speed of AI updates and changes, it is imperative that organizations operate in a dynamic, iterative, risk-adjusted, repeatable approach to better focus on the value that AI can bring to their organization. The key is a synergistic multidisciplinary approach to measurement, AI-ready data strategy, security, risk governance and talent shifts. | AI Management |
Computerworld - The highest-paid IT skills — and why you need them on your resume | The top 10 highest paid skills in tech can help workers earn up to 47% more — and the top skill among them is generative artificial intelligence (genAI), according to a new report from employment website Indeed and other sources. | Tech Jobs |
sdxCentral - GenAI, boardroom communications gaps top Gartner’s list of cybersecurity trends | Gartner noted that security behavior and culture programs (SBCPs) have gained traction to reduce human risks, as security leaders shift focuses from increasing awareness to fostering behavioral change. The firm expected half of large enterprise chief information security officer (CISO) will adopt human-centric security design practices to minimize cybersecurity-induced friction and maximize control adoption by 2027. | Security |
In very plain terms, a computer model is shown different images of a variety of objects and is told what each one represents. With training, the model can learn to recognize and categorize the different patterns it makes out in the images and eventually recognize and learn from new images it perceives. | Machine Learning | |
insideHPC - In-Memory Computing Could Be the Inference Breakthrough AI Needs | CPUs, GPUs and many of the custom-designed accelerators have been the main choices for AI so far, but even the most advanced solutions are slowed by the traditional Von Neumann architecture. Custom-designed ASICs, FPGAs and APUs offer specialized controllers with higher memory bandwidth and require large amounts of RAM to hold the model in memory, making generative AI almost impossible to deliver economically. | AI |
appleinsider - Apple users are increasingly falling victim to malware, phishing, and viruses | Overall, it claims that "40% of mobile users are running a device with known vulnerabilities," and that "39% of organizations had at least one device" with such issues. The report typically refers to iOS and Android together, rather than breaking out any differences, but says this is because there are growing issues even with the iPhone. | Privacy & Security |
Information Week - RAI Institute Founder on Steering AI Systems to Maturity | The institute’s new model outlines five stages of maturity, including aware, active, operational, systemic, and transformative. Used in conjunction with RAI’s benchmark tools, the group hopes the maturity model will help organizations realize better AI practices and provide a grading process to track AI maturity. | AI |
VentureBeat - AI set to drive major tech advancements in 2024, IEEE study finds | The proliferation of AI across industries will lead to major advancements in software development, supply chain management and cybersecurity, according to experts. Extended reality, cloud computing, 5G networks, and electric vehicles rounded out the top five technologies cited by survey respondents. | Automation & Productivity |
ZDNet - Employees input sensitive data into generative AI tools despite the risks | Asked about the risks to their organization from using public generative AI tools, 39% of respondents pointed to the potential leak of sensitive data, while 38% said these tools could produce incorrect, inaccurate, or unhelpful information. Another 37% of respondents cited compliance risks and 19% noted the technology could negatively impact productivity. | AI/Data |
AiThority - The Future of AI: A 2024 Vision for Customer Service and Beyond | While proprietary LLMs from the likes of OpenAI, Anthropic, Google, and others currently maintain the lead, open source is catching up and will inevitably reach parity in terms of performance. Mistral’s LLMs, Meta’s Llama 2, and Microsoft’s Phi2 have already gone open-source and Apple has recently developed a smaller-scale LLM able to run on an iPhone. Nevertheless, it remains to be seen what type of market share equally powerful open-source models take, especially considering the still high cost to not just train, but also run the models on powerful GPUs. | AI |
Computerworld - Microsoft Copilot Pro review: Office joins the genAI revolution | Copilot for Microsoft 365: This is the version of Copilot intended for businesses. It’s more expensive than Copilot Pro, and it’s not just integrated into Office apps — with Microsoft Graph, it can tap into all of a business’s data so you can have it write a Word document based on the contents of an email, for example, or ask it for insights that might involve looking up information in a variety of documents. | Automation & Productivity |
The fastest attack in 2023 was recorded at two minutes and seven seconds. Once initial access was obtained, it took only 31 seconds for an adversary to drop initial discovery tools in an attempt to compromise victims. | Security | |
According to IBM X-Force, IBM Consulting’s offensive and defensive security services arm, in 2023, cybercriminals saw more opportunities to “log in” versus hack into corporate networks through valid accounts – making this tactic a preferred weapon of choice for threat actors. | Security | |
SiliconANGLE - Metadata is the glue: federated data silos, metadata and governance | We believe that no single data platform will conquer them all. And that organizations will look to continue to break apart the compute or execution layer from the data storage layer in their composable data platform. In the research, we see organizations looking at ways to address their major challenges: costs of compute and storage, number of systems to manage, how to understand what data they have, and how to govern the use of that data. This research note digs into the last two issues around knowing what data you have and who can use it. | Data Management |
CIO Influence - Balancing Act: Ethics and Privacy in the Age of Big Data Analytics | The significance of big data collection and analytics is increasing at a rapid pace. According to IBM, a staggering 90% of the world’s data has been generated in the past two years alone. This exponential growth in data holds profound implications across various industries, underlining the need for data analysis. Organizations leverage big data to drive informed decision-making, innovate products and services, and address complex challenges. | Data & Analytics |
SiliconANGLE - New report warns of ongoing rise of malicious emails bypassing secure email gateways | The Cofense 2024 Annual State of Email Security Report, based on 35 million employee accounts tracked by Cofense, identified more than 1.5 million malicious emails bypassing customer secure email gateways, or SEGs, last year, up 37% from 2022 and 310% from 2021. In context, the report notes that Cofense detected at least one malicious email bypassing their customer’s SEGs every 57 seconds. | Security |
VentureBeat - These are the software roles you can leverage for remote working | In particular, if you’re looking for a job in natural language processing, blockchain engineering, front and back end as well as full stack, cloud computing, version control with Git and GitHub, database management or cybersecurity, then you’ve got the best possible chance of securing the working conditions that work for you. | Tech Jobs |
"That's why you see task forces," she says. "And, generally, it's much better to have line risk. It's better to have clear responsibilities and task forces." Implementing and overseeing AI successfully is a complicated conundrum that touches on all parts of the enterprise. | IT Management | |
sdxCentral - Tech companies ditch degree requirements, focus on skills | The practice is gaining ground on the governmental level, too: Massachusetts Governor Maura Healey recently instituted skills-based hiring practices for state jobs, noting that “too many job applicants are being held back by unnecessary degree requirements.” | Tech Jobs |
Information Week - Solving the Non-Invasive Data Governance Puzzle | Employee non-adherence (or in some cases, lack of knowledge) to security and governance policies is one reason why more companies are using social engineering audits to review practices in user departments. Another reason for lapses in governance is employee stress, which in 2023, according to Gallup, was at 44% of all employees. | Data Management |
sdxCentral - Dragos warns of rising ransomware, inaccurate vulnerability advisories | Dragos argues OT vulnerabilities should be addressed and mitigated differently from IT ones based on the strict operational requirements of OT systems, such as system uptime and vendor qualification processes. | Security |
CIO Influence - HP Reveals Security Threat Trends: Adversaries Target Endpoints | In Q4, a significant portion of intrusion attempts, with 84% involving spreadsheets and 73% involving Word documents, targeted vulnerabilities in Office applications, marking a departure from macro-enabled attacks. However, macro-enabled attacks remain prevalent, especially in instances utilizing low-cost malware like Agent Tesla and XWorm. | Security |
AiThority - Survey Shows K-12 Schools Unprepared to Manage Risks and Capture Benefits of AI | “EAB’s report confirms that teacher shortages, behavioral disruptions, worsening student mental health, and other familiar challenges are so pervasive that exploring how new technologies such as AI can help doesn’t even make the ‘to-do’ list,” said EAB Senior Director of K-12 Research Ben Court. | AI |
Watermarking puts the burden on the consumer, relying on an individual’s sense that something isn’t right for information. But people generally do not make it a habit to check the provenance of anything they see online. Even if a deepfake is tagged with telltale metadata, people will still fall for it — we’ve seen countless times that when information gets fact-checked online, many people still refuse to believe the fact-checked information. | AI Ethics | |
VentureBeat - Why artificial general intelligence lies beyond deep learning | The goal is to identify decisions that demonstrate robustness — the ability to perform well across diverse futures. While many deep learning approaches prioritize optimized solutions that may fail when faced with unforeseen challenges (such as optimized just-in-time supply systems did in the face of COVID-19), DMDU methods prize robust alternatives that may trade optimality for the ability to achieve acceptable outcomes across many environments | AI/ML |
Data Science Central - Transparency? What the Heck is That!? | Transparency is essential if organizations want to create AI models people can trust and will comfortably and confidently embrace. Understanding how the AI models reason and make decisions can determine whether people embrace them and have moral implications. Unfortunately, explanations of transparency can be too complicated and focus too much on technical details about data and AI technologies. | AI/Data |
AI will replace few if any data-related roles. Instead, AI-powered software will enhance their capabilities — and encourage ambitious data professionals to jump on acquiring whatever new AI-related skills may be demanded. Here’s a quick rundown of the impact AI will have on data roles across the organization. | AI/Data | |
While 60 percent of workers use genAI tools internally is impressive, more eye-catching is the fact that 50 percent will use AI to offer custom-facing tools, according to Forrester’s research. Guarani said Forrester is an example of this shift to custom-facing AI that lets its clients can now use genAI to search its entire library of research. | Automation & Productivity | |
Computerworld - Tech spending shifts to meet AI demand, forces a 'reshuffling of skills' for workers | The adoption of AI has the potential to reshape the workforce, though many employees could be looking at reskilling instead of separation. According to a 2023 survey of 1,684 C-suite executives by McKinsey Global Institute, about four in 10 respondents reporting AI adoption expect more than 20% of their companies’ workforces will be reskilled in the next three years; and 8% expect the size of their workforces to decrease by more than 20%. | Automation & Productivity |
SiliconANGLE - Cloud optimization wanes as AI slowly lifts off | In this Breaking Analysis, we update you on our latest hyperscale cloud spending and market share data. We’ll analyze the Enterprise Technology Research survey data on cloud optimization, assess the generative AI updraft for the big three U.S. cloud players and look at some of the industry trend data on cloud spend by platform. | Cloud |
eWeek - What Is A Large Language Model (LLM)? A Complete Guide | Large language models bridge the gap between human communication and machine understanding. Aside from the tech industry, LLM applications can also be found in other fields like healthcare and science, where they are used for tasks like gene expression and protein design. DNA language models (genomic or nucleotide language models) can also be used to identify statistical patterns in DNA sequences. LLMs are also used for customer service/support functions like AI chatbots or conversational AI. | AI/LLM |
SiliconANGLE - Contentsquare survey shows rising online frustration and falling traffic | Experimenting with traffic sources and entry pages: Relying on the same channels and landing pages won’t lead to success. Rather, experimenting with the traffic mix and testing entry pages to start visitor journeys in the best possible spot is the way to go. Tailoring the journey to visitor intentions will almost certainly improve conversion rates. | Sales/Marketing |
Information Week - Has Apple Changed VR and AR’s Trajectory with the Vision Pro? | So now Apple’s Vision Pro is out, offering VR and AR, with spatial computing that lets users control and use software and apps through the headset. This includes Bloomberg Pro that lets subscribers access news, research, and other content. Consumer brand Mars ran a Snickers AR experience, via Blippar, for its candy tied to Super Bowl LVIII. | AR/VR |
sdxCentral - AI security initiatives comparison: Microsoft and OpenAI vs. Google | Microsoft and OpenAI also work with MITRE to integrate LLM-themed tactics, techniques, and procedures (TTPs) into the MITRE ATT&CK framework or MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) knowledgebase. | AI/Security |
Jain believes that the most effective way to maximize data value is by ensuring that the data is well-connected and not isolated within silos. “When data elements are interconnected and form a unified fabric, they can collectively tell a more comprehensive story,” she says. “It’s about establishing a single source of truth within your organization where every piece of data contributes to a larger, interconnected narrative.” | Data Management | |
VentureBeat - ‘Game on’ for video AI as Runway, Stability react to OpenAI’s Sora leap | Clearly, the race for video AI gold is on. After all, just a few months ago Runway blew people’s minds with its Gen-2 update. Three weeks ago, Google introduced its Lumiere video AI generation model, while just last week, Stability AI launched SVD 1.1, a diffusion model for more consistent AI videos. | AI/Video |
CIO Influence - Leveraging Augmented Analytics for Enhanced Business Intelligence | According to insights from Gartner, augmented analytics involves leveraging enabling technologies such as machine learning and AI to support data preparation, insight generation, and insight explanation. This augmentation aims to enhance how individuals explore and analyze data within analytics and business intelligence (BI) platforms. | Data & Analytics |
Apple is not a hyper-scaler and can’t build a business model based on selling access to large language models (LLMs) running in the cloud. But it has the strongest vertical integration in the tech industry with full control over its entire stack, from the operating system to the development tools and down to the processors running in every Apple device. | GenAI | |
For decades, robots.txt governed the behavior of web crawlers. But as unscrupulous AI companies seek out more and more data, the basic social contract of the web is falling apart. | AI/Data | |
Companies often don't understand exactly what they're spending on in the cloud, the survey found. 65% said they were unsure of all their company's cloud instances. 35% reported cloud cost overruns in the last 12 months, nearly half of which were over $100,000 or $500,000. | Cloud | |
Computerworld - Tech spending shifts to meet AI demand, forces a 'reshuffling of skills' for workers | CompTIA pegs the IT unemployment rate in the US at 2.3%, more than a full percentage point below the national unemployment average of 3.7%. Janco Associates, however, puts IT unemployment at 5.5%, more than a full point above the national average. And Janco’s data paint a far grimmer picture for 156,000 unemployed IT pros. | Tech Jobs |
Most enterprise LLM systems will be custom-trained in specific data sets. A disadvantage to the neural networks on which LLMs rely is that they are notoriously difficult to debug. As the technology progresses, LLMs may develop the ability to revise, erase, or “unlearn” something false that it has learned. But for now, unlearning can be quite difficult. What is your process or procedure for regularly updating the LLM, and eliminating bad responses? | AI/LLMs | |
ZDNet - Microsoft and OpenAI detect and disrupt nation-state cyber threats that use AI, report shows | The two tech companies tracked state-affiliated adversary attacks from Forest Blizzard, Emerald Sleet, Crimson Sandstorm, Charcoal Typhoon, and Salmon Typhoon. Each attack used LLMs to augment its cyber operations in some capacity, including assistance with research, troubleshooting, and generating content. | AI/Security |
SiliconANGLE - New report finds sensitive information at risk in 55% of generative AI inputs | In the last thirty days, more than half of data loss prevention or DLP events detected by Menlo Security included attempts to input personally identifiable information. The next most common data type that triggered DLP detections included confidential documents, representing 40% of input attempts. | AI/Security |
A CDN is a geographically distributed network of servers that work together to deliver web content more efficiently and effectively to users. It works by storing static website content, such as images, videos, and files, on multiple servers located around the world. When a user requests this content, the CDN serves it from the server closest to them, reducing latency and improving overall website performance. | Content Management | |
Information Week - Pressure to implement AI raises IT tensions | “To accommodate AI’s increased power and computing demands, more than three-quarters of companies will require further data center graphics processing units (GPUs) to support current and future AI workloads. In addition, 30% say the latency and throughput of their network is not optimal or sub-optimal, and 48% agree that they need further improvements on this front to cater to future needs.” | AI/IT Management |
AiThority - JumpCould Finds Organizations Embracing AI Despite Security Concerns | With a strong majority of respondents both planning or actively implementing within the next year and advocating for AI investment, IT leaders clearly see potential benefits from deploying AI in their workplaces. But IT admins report notable concerns around their organizations’ current ability to secure against related threats—and personal concerns about AI’s impact on their career. | AI/Security |
VentureBeat - How AI is strengthening XDR to consolidate tech stacks | XDR is riding a strong wave of support due to its ability to consolidate functions while limiting data movement, two high priorities for CISOs today. Those benefits are especially important in an era of security budgets being scrutinized more closely than before. Add to that the ability to bring in more telemetry data, including sources that are behaviorally based that can be used to identify anomalous behavior, including insider threats, and AI’s potential impact to improve XDRs continually is clear. | AI/Security |
SiliconANGLE - Rethinking the business of software at ZohoDay 2024 | Vegesna presented a live AI-driven demo, building an application on the fly and generating relevant data tables with just a prompt to “Generate an Analyst Relations management app” to its Zia AI assistant atop Zoho Creator, using the context of its analyst contact data. Having managed analyst relations as a vendor in my own past, I found the resulting instant app looked surprisingly workable, containing the parameters I’d expect for organizing this complex relationship-centric process. | Emerging Tech |
Forbes - 18 Best Practices For Designing Seamless, Flexible And Efficient APIs | “An API’s design must hide the complexity of the underlying computations, no matter how intensive, convoluted and advanced the solution is at a lower level. Good interfaces are those that abstract complexity and provide universally intuitive access to data and functionalities that make sense for the average user.” | DevOps |
Stable diffusion can be used across multiple domains. For manufacturing, especially in the early stages of product development, it can be instrumental in visualizing product concepts and designs. This application of generative AI allows designers to quickly iterate on ideas and visualize potential products, streamlining the design process and powering more creative exploration. | GenAI | |
SiliconANGLE - The role of data loss prevention tools in protecting against AI data exfiltration | One of the cybersecurity challenges associated with generative AI is the potential for attackers to utilize it for multivector social engineering attacks and creating clean malware code. Attackers are using gen AI to create language models that can launch targeted voice, email and text attacks, making it difficult to protect against because they appear legitimate. Additionally, generative AI is being used to create clean malware code, making it challenging to identify the actor behind the attack | Data Management |
In this guide, you’ll learn about generative AI’s pros and cons for cybersecurity, how major companies are currently using this technology to bolster their cybersecurity tools, and how you can use generative AI in ways that balance efficacy with cybersecurity and ethical best practices. | AI/Security | |
Information Week - Investing In a Multi-Cloud Strategy to Maximize Efficiency | While the first significant wave of cloud adoption was driven mainly by the opportunity for cost savings, more recent moves to multi-cloud architectures are often caused by a desire for greater innovation. Many organizations are shifting their IT focus from cost savings and operational streamlining to generating revenue and innovation. | Cloud |
6G (sixth-generation cellular) will deliver significant improvements in security, resilience, reliability, latency, connection density, traffic capacity, spectrum efficiency, and user data rates, compared to 5G. It is expected to be 50 times faster than 5G, with a top-end, theoretical speed of 1Tbps, compared to 20Gbps for 5G. It can also handle 10 million devices per square kilometer, compared with 1 million for 5G, according to Keysight Technologies. | Network Management | |
Computerworld - The AI data-poisoning cat-and-mouse game — this time, IT will win | One, it tries to target a specific company by making educated guesses about the kind of sites and material they would want to train their LLMs with. The attackers then target, not that specific company, but the many places where it is likely to go for training. If the target is, let’s say Nike or Adidas, the attackers might try and poison the databases at various university sports departments with high-profile sports teams. If the target were Citi or Chase, the bad guys might target databases at key Federal Reserve sites. | AI Ethics |
VentureBeat - Year of the dragon: We have entered the AI age | The resulting landscape is one where gen AI becomes not just an option, but an essential driver of innovation, efficiency and competitive edge. This transformative shift signifies a move from tentative exploration to confident, informed application, marking 2024 as the year where gen AI transitions from an emerging trend to a fundamental business practice. | AI |
Data center IT operations manager - As artificial intelligence (AI) and machine learning (ML) remain high business priorities in 2024, companies like Microsoft, Amazon Data Services and Google are hiring data center IT operations managers in Q1 2024. | Tech Jobs | |
CIO Influence - Gemini Advanced: All You Need to Know About Google’s Powerful AI Suite | The Gemini Advanced version, accessible through a Google One AI Premium subscription, unlocks the full potential of Ultra 1.0. This enhanced experience excels in reasoning, following instructions, coding, and creative collaboration. Imagine a personal tutor tailored to your learning style or a creative partner assisting with content strategy or business plans. | AI |
TechTarget - IoT trends to keep an eye on in 2024 and beyond | And with more IoT devices collecting data, there's more data for analysis and training. These models, once created in data centers, can be implemented as an inference engine at the network edge or in IoT endpoint devices to enable new and better performing applications. Some of these models can also learn locally, adjusting their capabilities as they gain experience with data in the field. | IoT |
In practice, sovereign AI involves national governments’ strategic development and deployment of AI technologies to protect national sovereignty, security, economic competitiveness and societal well-being. Sovereign AI encompasses a nation’s approach to harnessing AI for its socioeconomic, cultural and geopolitical context and – in theory – stands in contrast with corporate-controlled AI, which is developed and deployed less in any nation-state’s interest and more to generate profits and gain market share. | AI | |
Real-time data shall become the standard for businesses to power generative experiences with artificial intelligence. Data layers should support both transactional and real-time analytics. He further goes on to say that, the world of data science should expect a paradigm shift from model-centric to data-centric Artificial intelligence. Multimodal LLMs and databases will enable a new frontier of AI applications across industries. | Data & Analytics | |
ZDNet - ChatGPT vs. Microsoft Copilot vs. Gemini: Which is the best AI chatbot? | Knowing which of the three most popular AI chatbots is best to write code, generate text, or help build resumes is challenging, so we'll break down the biggest differences so you can choose one that fits your needs. | Automation & Productivity |
CIO Influence - Why Should Companies Invest in a Strong ZTNA Technology | Talent acquisition and retention challenges in technology fields, coupled with compliance with diverse and evolving regulations, present additional hurdles. Meeting heightened customer expectations for seamless digital experiences, addressing supply chain disruptions, and managing the ethical use of technology further contribute to the multifaceted challenges businesses face today. | IT Management |
sdxCentral - Verizon’s 70 billion network data points highlight genAI potential (and challenges) | “AI and analytics engines are only as good as the data you put into them,” Silliman said. “We have an enormous body of data across Verizon, but it sits in 29,000 different data sources, which in many ways are fragmented, we don’t have common taxonomy. So the journey we’re on right now is bringing all of our data together into common platforms and common governance and taxonomy structures.” | GenAI |
Naturally, there are plenty of companies coming for Nvidia’s crown. It’s not only the obvious competitors like AMD and Intel but also several startups that purport to have created better ways to process large language models (LLMs) and other elements of AI. These companies include SambaNova, Cerebras, GraphCore, Groq, xAI, and more. At the same time, Intel is pursuing a GPU alternative as well with its Gaudi3 processor (along with having the Max GPU line for data centers). | AI/LLMs | |
ITPro Today - Why Many ITOps Teams Must Also Take On Cybersecurity Tasks | In the real world, though, cybersecurity operations tend to look more like this: In the course of their day-to-day monitoring routines, a team of ITOps engineers who don't specialize in SecOps notices something unusual, like an unexpected surge in network traffic. Further investigation reveals that the activity stems from a cyberattack, and the IT engineers are suddenly on the frontline of shutting it down — hopefully with the assistance of a cybersecurity engineer or two, but possibly not, because not all businesses employ dedicated security teams. | Security |
SiliconANGLE - Advancing data architecture for generative AI | The traditional solutions that technical professionals have previously used might not handle the velocity, variety and volume of data generated by modern application and analytical workloads. Because of gen AI, they must adopt new and recent approaches to data storage and delivery. These approaches can influence a wide variety of data ecosystems, including data lakes, warehouses and hubs | AI/Data |
AiThority - Threat Intelligence Report Exposes the Impact of GenAI on Remote Identity Verification | Face swaps are created using generative AI tools and present a huge challenge to identity verification systems due to their ability to manipulate key traits of the image or videos. A face swap can easily be generated by off-the-shelf video face-swapping software and is harnessed by feeding the manipulated or synthetic output to a virtual camera. Unlike the human eye, advanced biometric systems can be made resilient to this type of attack. | AI/Security |
SiliconANGLE - AI hallucinations: The 3% problem no one can fix slows the AI juggernaut | Hallucinatory behavior takes multiple forms, from leaking training data to exhibiting bias to falling victim to prompt injections, a new type of cyberthreat in which bad actors manipulate models to perform unintended actions. In extreme cases, models go completely off the rails, such as a beta test version of Microsoft Corp.’s Sydney chatbot did early this year when it professed its love for The Verge journalist Nathan Edwards and confessed to murdering one of its developers. (It didn’t.) | AI Ethics |
Tech (under the heading of “Semiconductors, Electronics, Electrical Engineering, Technology Hardware & Equipment”) is only number 18 when it comes to industries with frustrating pay. (No shock to see both Education and Healthcare are number one; they are the Rodney Dangerfield of fields of work.) | Tech Jobs | |
“Five years ago, deepfakes were things that were complicated to build. You needed to be quite expert,” Newell recalls. “They were expensive. And to be honest, they didn't look very good. Now, they are extremely easy to make. There are tools that are essentially free. The level of expertise [required] is very, very low.” | Privacy & Security | |
Computerworld - What are LLMs, and how are they used in generative AI? | If you need to boil down an email or chat thread into a concise summary, a chatbot such as OpenAI’s ChatGPT or Google’s Bard can do that. If you need to spruce up your resume with more eloquent language and impressive bullet points, AI can help. Want some ideas for a new marketing or ad campaign? Generative AI to the rescue. | AI/LLMs |
Yahoo!Finance - Bloomberg - Humans Still Cheaper Than AI in Vast Majority of Jobs, MIT Finds | In one of the first in-depth probes of the viability of AI displacing labor, researchers modeled the cost attractiveness of automating various tasks in the US, concentrating on jobs where computer vision was employed — for instance, teachers and property appraisers. They found only 23% of workers, measured in terms of dollar wages, could be effectively supplanted. In other cases, because AI-assisted visual recognition is expensive to install and operate, humans did the job more economically. | Automation & Productivity |
ZDNet - Business sustainability ambitions are hindered by these four big obstacles | Despite the stated importance of sustainability to commercial success, only 37% of respondents believe sustainability is "very integrated" into the core of their business. Low integration of sustainability into key functions, such as finance and technology, means there is less opportunity for people on the sustainability team to understand the commercial opportunities for the business. | Sustainability |
Information Week - Expect the Unexpected: How to Reduce Zero-Day Risk | A number of zero-day bugs in browsers, for instance, have emerged in the first month of 2024. A zero-day (CVE-2024-0519) in Google Chrome, allows for code injection. Attackers actively exploited the vulnerability, which Google has patched by this point. A zero-day bug (CVE-2024-23222) in Apple’s WebKit browser engine for Safari has also been exploited and patched. Attackers could leverage that vulnerability to execute code on impacted systems. | Security |
SiliconANGLE - Nord Quantique’s latest research paper promises scalable quantum computing | The company claims the ability is a world-first. Quantum error correction to improve qubit coherence lifetime at the individual qubit level uses techniques designed to protect quantum information stored in qubits from errors — which can occur from decoherence and other quantum noise — without necessitating a significant increase in the number of physical qubits. | |
If you’re currently on the job hunt, it’s also worth considering which jobs pay the most. Dice’s latest edition of the Tech Salary Report breaks down which types of engineers, managers, and other specialists have the highest earning potential; while managers (especially high-ranking ones such as CTOs and CIOs) can pull down huge paychecks, developers and engineers in “hot” arenas such as cloud and DevOps also earn high average pay: | Tech Jobs | |
TechTalks - What to know about the rising threat of deepfake scams | Don’t trust anything coming from a public figure unless you see it on their official channels such as social media accounts and websites. Social media algorithms can easily be gamed with sensational videos that generate engagements and clicks. But if the video has not been shared on the real person’s account, then don’t trust it, even if it looks real. | Security |
Information Week - IT Security Hiring Must Adapt to Skills Shortages | Organizations must continue to expand their recruiting pool, account for the bias that currently exist in cyber-recruiting, and provide in-depth training through apprenticeships, internships and on-the-job training, to help create the next generation of cyber-talent. | Tech Jobs |
ZDNet - Ransomware leak site reports rose by 49% in 2023, but there is good news | As far as motivation is concerned, the report states, "Leak site data reveals at least 25 new ransomware groups emerged in 2023, indicating the continued attraction of ransomware as a profitable criminal activity." Fortunately, the report indicates, "Despite the appearance of new groups such as Darkrace, CryptNet and U-Bomb, many of these new ransomware threat actors did not last and disappeared during the second half of the year." | Security |
Datanami - Alluxio Founder and CEO Reveals Top Data Predictions for 2024 | In 2024, more organizations will recognize the pressing sustainability challenges posed by AI projects as adoption accelerates. Technological advancements like optimized data architectures, reduced data copies, and renewable energy tapping will help. However, technology alone is not enough. Organizations will also need to implement governance processes and human-centered values that ensure AI projects drive business value without negatively impacting the environment | Data Management |
Network Computing - Organizations Left Grappling for Solutions Amid Alarming Cloud Security Gaps | While 98 percent of the 1,600 IT security decision-makers polled said their organizations store and manage sensitive data in the cloud, over half believe their cloud security postures are weak. This fear stems from their reliance on traditional security tools designed to protect on-premises IT systems that have proven ineffective at securing cloud-based resources. | Cloud Security |
Computerworld - What a future without browser cookies looks like | “In the short term, there will be some disruption with advertisers struggling to market themselves effectively,” Lall said. “This may seem good for consumers who are ‘cookie free.' However, there will likely just be more irrelevant ads flooding the media trying to find an audience. So, it’s a bit of a double-edged sword.” | Data Privacy |
ZDNet - Cybersecurity burnout hits APAC firms, with lack of resources the key challenge | Some 17% of professionals across the region said fatigue and burnout had contributed or was directly responsible for a cybersecurity breach in their organization. This figure was highest in India at 25%, followed by Singapore at 23%, Malaysia at 21%, and Australia and 19%. | Security |
VentureBeat - Eight emerging areas of opportunity for AI in security | Vendor risk management and compliance automation. Cybersecurity now involves securing the entire third-party application stack as companies communicate, collaborate, and integrate with third-party vendors and customers, according to Menlo Venture’s prediction of how risk management will evolve. | AI/Security |
ZDNet - 15 big ideas that will revolutionize industries and economies, led by AI | The research suggests coding assistants are early success stories that have boosted the productivity and job satisfaction of software developers. AI-powered assistants are increasing the performance of knowledge workers and, interestingly, benefiting underperforming workers relatively more than high performers: | Automation & Productivity |
VentureBeat - Tech industry is poised for comeback in 2024 | Deloitte | While “efficiency” emerged as the primary focus for 25% of respondents, “innovation” and “productivity” tied at 21%, closely followed by “growth” at 19%. The majority perceived the industry as “innovative” and “evolving,” with 62% feeling it was an opportune time for their companies to take greater risks. | Tech Trends |
Challa says the organization's leadership will be the key stakeholders driving machine customer engagement plans. He points to the CEO, chief technology officer (CTO), chief data officer (CDO), customer service and support leaders, sales and marketing heads, and risk, legal, compliance and security executives. | Automation & Productivity | |
SiliconANGLE - Google report warns of risk posed by commercial surveillance industry | Google TAG has identified about 40 commercial surveillance vendors, or CSVs, actively engaged in the trade. They sell sophisticated hacking tools that not only serve legitimate law enforcement purposes but are also misused to undermine freedom of speech, a free press and the integrity of global elections | Privacy & Security |
ZDNet - 15 big ideas that will revolutionize industries and economies, led by AI | The 2024 Big Ideas report by ARK identifies five innovation platforms converging and defining the technological era: AI, public blockchains, energy storage, robotics, and multiomic sequencing. ARK also looks at the historic impact of converging technologies and estimated economic impacts. | Emerging Tech |
Servers are effective at many things but were never designed for the rigors of software-defined networking, storage and security. Servers excel in processing massive amounts of data, but they should not be performing functions such as network address translation, telemetry, firewall, storage-related services and, down the road, artificial intelligence functions such as AllReduce. | IT Management | |
The New York City company, founded in 2020, has built its own LLMs to help match over 2,500 data vendors to data buyers, which includes an ‘exploding’ number of companies which need often obscure, highly-specific datasets for their own LLM inference use cases. | AI/Data | |
Information Week - How Many C-Levels Does It Take to Securely Manage Regulated Data? | “I’ve seen a notable shift in the last few years to more C-suite and board leaders becoming active participants in cybersecurity conversations,” says Brent Johnson, CISO at Bluefin. “This was accelerated by the rapid transition to remote and hybrid work along with daily headlines, and coupled with mounting pressure to maintain regulatory compliance, securely managing data is no longer a concern just for CISOs.” | Security |
ZDNet - 4 ways to help your organization overcome AI inertia | "What's the smallest part of that purpose that you can start making a difference on? When you go down this path, and as soon as you mention things like AI, everybody goes for 'bigger is better.' It's like, 'What's the biggest problem? Can we solve world peace?' Instead, focus on the smallest problem where you can make a difference and use that as your model going forward." | Automation & Productivity |
VentureBeat - How to detect poisoned data in machine learning datasets | As AI adoption expands, data poisoning becomes more common. Model hallucinations, inappropriate responses and misclassifications caused by intentional manipulation have increased in frequency. Public trust is already degrading — only 34% of people strongly believe they can trust technology companies with AI governance. | AI Ethics |
Network Computing - 5 Things You Can't Automate In Your Data Center | Theoretically, robots can automate much of the work of server deployment inside data centers. However, to do this work cost-effectively using robots, you'd need to operate on a massive scale. You'd also need server deployments that are sufficiently consistent and predictable to automate without the assistance of humans. Today, most server deployments just don't meet this criterion. | Data Management |
The survey highlights that while the ambition to innovate is high, the journey remains long, with one such example showcasing that only 25% of companies surveyed have an innovation expert on their leadership team, and nearly half say they lack the talent and resources required for sustained progress. | Tech Trends | |
SiliconANGLE - Report finds excessive honeypots are spoiling cybersecurity data accuracy | “Honeypots are a net good for the security community,” the report concluded, “but their expanding popularity does make understanding real-world attack surfaces much more difficult for defenders, not just attackers.” | Security |
ZDNet - Why US small businesses will lead in AI investments in 2024 | Regarding technology investments, it is no surprise that small business owners are looking to AI to improve productivity and communications. It is also important to remember that all AI projects start as data projects. Research based on insights from more than 10,000 analytics, IT, and business leaders reveals the need for a strong data foundation to fuel AI adoption and benefits. | Automation & Productivity |
ZDNet - Has ChatGPT rendered the US's education report card irrelevant? | The machines are dependent on what's either in the prompt or in the learned parameters of the model. That gap opens a way for humans, perhaps, to excel where neither source contains the insights required for problem-solving activities. | ChatGPT |
Forbes - AI Revolutionizes Voice Interaction: The Dawn Of A New Era In Technology | His position is that the world is about to shift very rapidly towards adopting a model where voice is our primary interface with machines. In other words, for complex machine operations – like programming computers – we no longer need to learn the language of machines because they’ll just speak ours. | AI/Voice |
SiliconANGLE - Six cloud security trends we’re watching in 2024 | Cybersecurity mesh architecture (CSMA) is a cyber defense strategy that is rapidly gaining ground, independently securing devices with their own perimeters (firewalls/network protection tools). CMSA helps provide a multi-layered defense against cyber threats, making it more difficult for attackers to penetrate an organization’s network successfully. | Security |
Network Computing - Evaluating the 2024 Cybersecurity Landscape | In 2024, expect to see the continued maturation of the cybersecurity business and platform vendors embrace the idea of delivering on cybersecurity-as-a-service. The tooling companies of yesterday want to be the business partner of today. There is far more value in the relationship of being a business partner vs. being a provider of a commodity technology solution. Platforms are critical to a business while tools are tactical to help at a given point in time. | Security |
VentureBeat - Why AI and behavioral analytics are stealth strengths of Gartner’s MQ on endpoints | Gartner writes in this year’s magic quadrant (MQ) for endpoint protection platforms, “the endpoint protection platform (EPP) market is no longer limited by vendors only offering EPP and endpoint detection and response (EDR) capabilities, and buyers are increasingly looking for fewer vendors to deliver a wider array of capabilities.” The report continues, “email security, identity threat detection and response and extended detection and response (XDR) are increasingly part of the purchasing decision.” | Security |
Synthetic data shines when real data is scarce, sensitive, or too risky to use. “In scenarios where gathering ample and diverse data is impossible, challenging, or unethical, synthetic data steps in as a reliable alternative,” Zhu says. “It allows organizations to model complex situations without compromising privacy or safety.” | Data Management | |
The findings reveal a significant gap between self-reported security measures and reality. Despite 57% of interviewed organizations reporting significant security incidents, over 70% of organizations reported better performance on cybersecurity key performance indicators (KPIs), such as mean time to detect, investigate, respond, and remediate in 2023 as compared to 2022, and the overwhelming majority of organizations (over 90%) believe they have good or excellent ability to detect cyberthreats | Security | |
Computerworld - It’s not just hype; genAI is already live at many companies | One of the more surprising aspects of the recent rise of genAI, according to the Workato study authors, is that many of the use cases are not coming from IT or the more technical parts of the workplace. Instead, researchers see a “democratization” of the technology, as line of business teams take advantage of it to automate their work or handle processes with particularly complex tool stacks. | GenAI |
CSO - Assessing and quantifying AI risk: A challenge for enterprises | To counter the risks, organizations can thoroughly evaluate their exposure to AI, assess the risks, and set guiderails and mitigation strategies in place to deal with the most business-critical issues. The assessment strategies differ based on the kind of AI that’s involved, which generally falls into three categories: internal AI projects, third-party AI, and AI used maliciously by attackers. | AI/Security |
VentureBeat - 10 reasons why securing software supply chains needs to start with containers | The Cloud Native Computing Foundations’ recent Kubernetes report found that 28% of organizations have more than 90% of workloads running in insecure Kubernetes configurations. The majority of workloads, more than 71%, are running with root access, increasing the probability of system compromises and sensitive data being exposed. Many DevOps organizations overlook setting readOnlyRootFilesystem to true, which leaves their containers vulnerable to attack and unauthorized executables being written. | Security |
CIO Influence - Quantum Computing and IT Security: What Leaders Need to Know | Quantum computing, a relatively unfamiliar innovation, is poised to reshape business strategies. Unlike classical computers, quantum computing leverages the principles of quantum mechanics to tackle intricate problems beyond the reach of current technology. Despite not being fully mature, with McKinsey estimating 5,000 operational quantum computers by 2030, comprehensive capabilities for complex problem-solving may not emerge until 2035 or later. | Quantum Computing |
With Wi-Fi 7, channel width expands from 160MHz to 320MHz, effectively doubling throughput, Dion observes. “For short distances, the modulation goes from 1024QAM to 4096QAM, which can improve throughput an additional 20 percent.” Additionally, flexible channel utilization (FCU) enables wider channel use, even in areas experiencing high levels of interference. | Network Management | |
Forbes - The Future Of Cybersecurity Is More Human Than You Think | The Institute of Labor Economics found that most technology adopters respond to workforce trends by hiring more specialized workers. However, this time may be different considering how AI is revolutionizing cybersecurity and crunching structured and unstructured data in ways humans could never do alone. | AI/Security |
ComputerWeekly - GenAI tools ‘could not exist’ if firms are made to pay copyright | Under US law, “fair use” permits the limited use of copyrighted material without permission, for purposes such as criticism, news reporting, teaching, and research. | AI Ethics |
Publishers are in the best position to create processes for obtaining customer consent for data and building cohorts for how advertisers can target their audiences. We can see this starting to happen as Bloomberg Media shuts off its open-market programmatic advertising in a bid to take back more control over the UX – which is showing early signs of success. | Marketng Tech | |
VentureBeat - How enterprises are using open source LLMs: 16 examples | But it’s also true that people may have underestimated how much experimentation would happen with open-source models. Open-source developers have created thousands of derivatives of models like Llama, including increasingly, mixing models – and they are steadily achieving parity with, or even superiority over closed models on certain metrics (see examples like FinGPT, BioBert, Defog SQLCoder, and Phind). | AI/LLMs |
Computerworld - Russia hacks Microsoft: It’s worse than you think | This time around, though, Midnight Blizzard didn’t have to build a sophisticated hacking tool. To attack Microsoft, it used one of the most basic of basic hacking tricks, “password spraying.” In it, hackers type commonly-used passwords into countless random accounts, hoping one will give them access. Once they get that access, they’re free to roam throughout a network, hack into other accounts, steal email and documents, and more. | Security |
VentureBeat - How data engineers should prepare for an AI world | Inserting AI into data pipelines can greatly accelerate a data engineer’s ability to extract value and insights. For example, imagine a company has a database of customer service transcripts or other text documents. With a few lines of SQL, an engineer can plug an AI model into a pipeline and instruct it to surface the rich insights from those text files. Doing so manually can take many hours, and some of the most valuable insights may only be discoverable by AI. | AI/Data |
Most organizations are aware of these risks and are putting in place controls to limit exposure: 63% have established limitations on what data can be entered, 61% have limits on which GenAI tools can be used by employees, and 27% said their organization had banned GenAI applications altogether for the time being. Nonetheless, many individuals have entered information that could be problematic, including employee information (45%) or non-public information about the company (48%). | GenAI | |
ZDNet - 2024 may be the year AI learns in the palm of your hand | The impact of on-device training could be a transformation in the capabilities of neural networks. AI could be personalized to your own actions as you walk around, tapping, scrolling, and dragging. AI could learn from the environments you pass through during your daily routine, gathering signs about the world. | AI |
CIO Influence - Understanding the Complex Implications of AI for Cyber Security | “Organizations should not view AI as a silver bullet, however. Security teams that rely too much on AI can fall into a false sense of security and reduce human vigilance. But AI systems do make mistakes and sometimes fail in unexpected ways.” | Security |
Information Week - Top 5 Skills Gaps Every Cloud Practitioner Needs to Close | The most prominent security factors in cloud data breaches, according to CrowdStrike, include unrestricted outbound access, neglected cloud infrastructure, and disabled logging -- roadblocks that can be alleviated with heavier cybersecurity training. | Cloud |
VentureBeat - Study finds AI ‘revolution’ moving at a crawl in enterprises | “The survey suggests organizations may be hesitant to adopt GenAI due to the barriers they face when implementing LLMs,” said Markus Flierl, corporate VP for the developer cloud at Intel. “With greater access to cost-effective infrastructure and services, such as those provided by cnvrg.io and the Intel Developer Cloud, we expect greater adoption in the next year as it will be easier to fine-tune, customize and deploy existing LLMs without requiring AI talent to manage the complexity.” | GenAI |
Network Computing - AI Drives the Ethernet and InfiniBand Switch Market | While most of the growth in the past in the switch market has come from front-end networks, Sameh Boujelbene of the Dell'Oro Group said in a release: “This rapid growth [of AI] necessitates the deployment of thousands or even hundreds of thousands of accelerated nodes. Connecting these accelerated nodes in large clusters requires a data center-scale fabric, known as the AI back-end network, which differs from the traditional front-end network used mostly to connect general-purpose servers.” | Network Management |
VentureBeat - The future of biometrics in a zero trust world | Biometric data obtained from selfies, forged passports and cyberattacks on data stores holding everything from fingerprints to DNA have long been best-sellers on the dark web. Untraceable yet very powerful in allowing attackers to access the most valuable information a victim has, attackers are racing to fine-tune their tradecraft, producing synthetic ID fraud for more sophisticated attacks. | Privacy & Security |
sdxCentral - Deloitte on Tech: The future of cloud-enabled generative is almost limitless | To effectively implement both cloud and genAI, it’s essential for companies to prepare, first by modernizing their IT applications and processes onto cloud-based, cloud-built infrastructures. Further, it’s important to build a cloud-enabled workforce that has the tech fluency to drive the transformation into a cloud-based, GenAI-fluent IT organization. | AI/Cloud |
Network World - 5 data center predictions: Surging demand and tighter rules squeeze operations | Even when the targets are voluntary and set by the companies themselves, the fact that they are published alongside financial reports may make them legally binding, he added. “Companies will have to close that gap,” he said. “I think a lot of companies are going to go rather quiet and possibly walk back on some of their commitments. But, hopefully, there will be some serious attention and investment paid to the issue of efficiency and a lot of new innovation will happen.” | Data Management |
AiThority - Ranking of Software Companies with the Best and Worst Data Security Perception for 2024 | With Data Privacy Day just around the corner, Permutable AI has compiled a list of the best and worst software firms according to how secure their customers feel their data is. Considerations such as news sentiment, social sentiment, and other relevant metrics are part of the analysis that assesses the companies’ data security posture. | Privacy & Security |
sdxCentral - Decoding the true cost of cyberattacks and the financial forces driving cybercriminals | The report also found that ransomware attacks continue to plague organizations globally, with 71% of surveyed respondents experiencing such cyberattacks last year. Alarmingly, 61% ended up paying the ransom, with the highest average payment reaching $1.38 million. In addition to ransomware, phishing remains a significant threat, with 92% of organizations reporting an average of six credential compromises over the past year. The consequences of these attacks were primarily the loss or theft of sensitive information or a lawsuit. | Security |
Privacy’s importance can be seen in three trends that will emerge in 2024 at the intersection of privacy and human resources. First, we will see increasing regulation, both in the US and globally. Second, we will see an increasing demand and expectation for transparency around data collection and usage, particularly where AI acts on personal data. Third, we will see increasing adoption of AI in the employment context. | Data Privacy | |
ZDNet - 90% of IT leaders say it's tough to integrate AI with other systems | IT leaders acknowledge that data silos and systems fragility are holding their companies back. Almost universal, 98% of IT leaders report facing challenges regarding digital transformation. Key drivers are the persistence of data silos at 81% and the fragility of tightly coupled and highly dependent systems at 72%. | IT Management |
Information Week - Why a Chief Cyber Resilience Officer is Essential in 2024 | Therefore, there is a growing need for efficient and effective responses to these threats that align risk management processes and business goals. Businesses need visionaries with a collaborative mindset and a holistic approach. However, cyber resilience hasn’t traditionally been the exclusive role of either the chief information security officer (CISO), chief information officer (CIO), nor others in the C-suite. | Security |
While generative AI tools like ChatGPT have many positive uses, they are not always used in an ethical manner. Leaders in various industries consider these generative AI tools inappropriate – sometimes even a security risk. Teachers consider generative AI tools as threats to excellence in academics. | AI | |
Computerworld - The rise of synthetic media: Get ready for AI avatars at work | Primed with a pre-written script, digital avatars can be used in video content without the usual production and editing costs and effort. The result: faster content creation, greater personalization, and the ability to translate communications into a range of languages without hiring a voice-over actor — all while still delivering useful information to employees and customers. | Automation & Productivity |
Network Computing - AI Enables New Cyber Threats. Are You Ready? | Certifications that help in many of these areas include Certified Ethical Hacker (CEH), Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), and Certified Information Security Auditor (CISA). Additionally, there need to be people with cloud and security certifications in Amazon, Azure, and Oracle. One quick way to address the complexity and gain the needed expertise is to leverage a pool of talent through your partner. | AI/Security |
VentureBeat - Exclusive: What will it take to secure gen AI? IBM has a few ideas | The three core tenets of the IBM approach are to secure the data, the model and then the usage. Underlying those three tenants is an overarching need to ensure that throughout the process there is secure infrastructure and AI governance in place. | AI/Security |
SiliconANGLE - Rapid growth in AI and cloud topics evident in latest O’Reilly annual report | Last year, O’Reilly saw a 3,600% increase in topics relating to generative AI and generative pretrained transformer models, or GPTs. Natural language processing was the most widely consumed AI topic, up 195% year-over-year, with related topics such as generative models up 900%, transformers up 325% and prompt engineering — a topic that didn’t exist in 2022 — also seeing surging interest. | Tech Trends |
CIO Influence - Key Takeaways from the 2023 Global Trends AI Report | Notably, the symbiotic relationship between AI/ML and edge computing emerges as a catalyst, unlocking next-gen data-intensive AI use cases. Successful scaling hinges on optimized infrastructure, with AI pioneers prioritizing high-performance computing (HPC) as a critical requirement for AI/ML applications. Enterprises with modern data architectures showcase efficient AI/ML data life cycle management across multiple venues, positioning them for effective AI project scaling. | AI Trends |
The Hacker News - Cyber Threat Landscape: 7 Key Findings and Upcoming Trends for 2024 | One example is the fake videos promoting cryptocurrency scams using celebrities such as billionaire Elon Musk and Ethereum creator Vitalik Buterin. The videos use images of these executives at events, but the original lines are replaced by an AI-synthesized voice. The images are only altered to ensure lip sync, which is another function of this type of AI. | Security |
The adoption velocity of data analytics and AI has accelerated the widening talent gap in two specific areas: frontline workers, with the capacity to co-pilot new analytic tools, strategies and programs, and senior data analysts/data scientists who can co-ordinate these activities and continue to discover meaningful insights within a business framework. | Tech Jobs | |
SiliconANGLE - Menlo Security reports significant increase in browser-based phishing attacks in 2023 | The 2023 State of Browser Security Report found a 198% increase in browser-based phishing attacks in the second half of the year and a 206% increase over the full year. Evasive attacks, those that use techniques meant to evade traditional security controls, were found to make up 30% of all browser-based phishing attacks. Evasive threats include tactics such as SMS phishing, or smishing, adversary-in-the-middle frameworks, image-based phishing, brand impersonation and multifactor authentication bypass. | Security |
VentureBeat - Why LLMs are vulnerable to the ‘butterfly effect’ | Even minuscule or seemingly innocuous tweaks — such as adding a space to the beginning of a prompt or giving a directive rather than posing a question — can cause an LLM to change its output. More alarmingly, requesting responses in XML and applying commonly used jailbreaks can have “cataclysmic effects” on data labeled by models. | AI/LLMs |
Computerworld - 7 ways to leverage genAI for a better career | How much more are AI skills worth (beyond basic job security)? A recent survey by Access Partnership and Amazon Web Services (AWS) found that employers are willing to pay an average of 47% more to IT pros with genAI skills. And those salary premiums don't stop with IT. Companies are also willing to pay 43% more to AI-skilled sales and marketing workers; 42% more to finance, legal, and regulatory employees; 37% more to compliance workers; and 35% more to HR pros. | AI/Jobs |
It highlights the necessity of emotional intelligence in building employee trust and the imperative to address employee burnout. Emboldify’s ‘Top Trends for Tech Leaders’ report identifies the evolution of management practices suitable for the modern workforce and the importance of adaptability and innovation in leadership, as AI continues to revolutionize employee, customer, and user experiences. | Automation & Productivity | |
SiliconANGLE - US tops 164 countries targeted by threat actors in 2023 | The Forescout Research Vedere Labs 2023 Global Threat Roundup Report found that the U.S. was targeted by 168 malicious actors in 2023, followed by the U.K. being targeted by 88, Germany 77, India 72 and Japan 66. The highest concentration of threat actors was from China with 155, followed by Russia with 88 and Iran with 45. The three countries collectively account for nearly half of all identified threat groups. | Security |
“Public safety professionals are spending up to half their shift filling out reports, rather than addressing operational needs and responding to calls for service. And on top of that, 70% of first responders need to use overtime to finish paperwork. We also learned that paperwork is the top activity that first responders spend their time on, ahead of proactive crime prevention and working with youth,” | Automation & Productivity | |
Network Computing - APIs: The Key to Generative AI Success and Security | Our research shows both LLMs and the apps built to take advantage of them—whether advisors, agents, or assistants—will be deployed both on-premises and in the public cloud. While there appears to be a preference for public cloud, both locations are likely for all components that make up what is emerging as "AI Apps." | |
SiliconANGLE - MIT study shows AI is still too costly to replace most human workers | The report’s surprising finding was that just 23% of workers’ wages for such jobs could be cost-effectively replaced by AI systems. “Even with a 50% annual cost decrease, it will take until 2026 before half of the vision tasks have a machine economic advantage,” researchers wrote. “By 2042 there will still exist tasks that are exposed to computer vision, but where human labor has the advantage.” | Automation & Productivity |
There are more advantages than disadvantages to AI products and services, according to a 2022 IPSOS survey in which 78% of Chinese respondents agreed. This is the greatest percentage of any country surveyed. Saudi Arabians (76%) and Indians (71%) had the second-highest positive impressions of AI goods, behind only Chinese respondents. Among the nations polled, Americans had the lowest percentage of respondents (35%) who felt that the advantages of AI-powered goods and services outweighed their disadvantages. | AI | |
Information Week - Data Modernization: Turning an Ugly Duckling into a Swan | On corporate boards and in executive suites, there is verbal acknowledgement that without data quality, security, and integration (i.e., data modernization), there can be no artificial intelligence, which all companies want. Unfortunately, modernizing data is unglamorous, painstaking and often difficult to justify for budget funding. | Data Management |
AiThority - Generative AI – To Grow by 10X to Become a $100 Billion Market by 2028 | According to research by Sopra Steria Next, the generative AI market is expected to increase tenfold by 2028 to around $100 billion, equating to annual growth of 65%. This commercial take-off in the generative AI market can be explained in particular by the introduction of policies and guidelines governing the controlled use of GenAI, particularly in the business world, as well as greater competition between major generalist AI models and the rise of specialised large language models (LLMs) enabling the proliferation of applications targeting multiple use cases. | GenAI |
VentureBeat - Navigating the intersection of cybersecurity and AI: Key predictions for 2024 | The combination of social engineering exploits and gen AI technology will result in a surge of cyber breaches, characterized by enhanced quality, diversity and quantity. This will create a feedback loop that facilitates iterative improvements, making these breaches even more sophisticated and challenging to mitigate. | AI/Security |
“We have a shortage of 700,000 cybersecurity workers across the private and public sectors,” Mace said during the hearing. “We know that our traditional education system doesn’t produce nearly enough degreed graduates in the field to fill the need. We also know that that shortfall would be much worse if not for the appearance of nimble educational alternatives. That includes short-term ‘boot camp’ programs that issue non-degree credentials like certifications and badges.” | AI/Jobs | |
sdxCentral - Will Ethernet or InfiniBand be the star of data center AI networking? | Some large AI applications are handling trillions of parameters today, and that count will increase tenfold each year. “This rapid growth necessitates the deployment of thousands or even hundreds of thousands of accelerated nodes. Connecting these accelerated nodes in large clusters requires a data center-scale fabric, known as the AI backend network, which differs from the traditional frontend network used mostly to connect general purpose servers,” Boujelbene said. | Network Management |
Particularly challenging are interdisciplinary insights that require expertise in two often very unrelated fields with few experts who have mastered both disciplines. Fortunately, this problem also fits within the Haystack class: It is much easier to sanity-check potential novel AI-generated ideas by reading the papers from which they are drawn from than to generate new ideas spread across millions of scientific works. | AI | |
CIO Influence - Identity & Access Management: Securing Your Cyber Gates | The statistics underscore the critical need for IAM. A staggering 80% of cyberattacks employ identity-based attack methods, emphasizing the urgency for robust IAM implementation, according to Crowdstrike’s report. Additionally, 3 out of 4 Chief Information Security Officers (CISOs) acknowledge the vulnerability of collaboration tools, with 94% expressing dissatisfaction with the security tools inherent in Microsoft 365, as per the Mimecast report. In this context, IAM emerges as a proactive defense and an essential strategy to navigate the evolving threat landscape. | Security |
AiThority - Demand for Data and Analytics Expertise at Three-Year High | “The survey results not only demonstrate that organizations across the region are investing in data-driven initiatives to power the customer experience, but they’re also setting themselves up to support that with 92 percent using cloud data warehouses, which is great to see. | Data & Analytics |
SiliconANGLE - 2024 IT spending outlook shows cautious start with optimistic finish | In addition, methods to reduce cost are shifting. No longer are consolidating redundant vendors and cloud optimization two of the more prominent techniques. Rather, staff reductions, project delays and limiting outside consulting spend are taking over the top spots — perhaps the first being a function of AI deployments. | IT Management |
VentureBeat - The missing link of the AI safety conversation | To build intelligence, you need talent, data and scalable compute. The demand for the latter is growing exponentially, meaning that AI has very quickly become the game for the few who have access to these resources. Most countries cannot afford to be a part of the conversation in a meaningful way, let alone individuals and companies. The costs are not just from training these models, but deploying them too. | AI |
As for next steps, Pahlka said that some existing tools can help these AI recruitment efforts, like Subject Matter Expert Qualifying Assessments, or SME-QAs, which already support a streamlined approach to hiring. If paired with pool hiring, Pahlka said the government could bring on “great people, quickly.” | AI/Jobs | |
AiThority - Mourning The Third-party Cookie: Five Stages Of Grief | Given that Google has already pushed back its deadline for cookie depreciation several times, there’s still a lot of skepticism in the marketplace about when and whether they will go through with it. Strikingly, some of the major ad trading platforms seem to be among the doubters, as several have still not actively engaged in testing Google’s Privacy Sandbox alternative solutions | Marketing Tech |
To put it simply, AGI refers to AI that can perform complex tasks, such as learning, reasoning, and more, just as well as humans. Currently, even the most advanced generative AI models still require human direction and instruction to complete a task. | AI | |
VentureBeat - Forrester study finds retailers struggling to adopt AI despite enthusiasm | The study, commissioned by enterprise software provider Epicor, found that 70% of retailers view an AI-powered retail management system as critical. However, widespread adoption of AI is still in the early stages. “Processes like receiving and sales and operation planning see the lowest usage with less than 20% of respondents leveraging advanced AI,” the study states. | AI/Retail |
TechBullion - Understanding the Role of Artificial Intelligence in Cybersecurity | But fear not! In this blog post, we delve into the captivating realm of Artificial Intelligence (AI) and its indispensable role in safeguarding our digital existence. From predictive analytics to deep learning algorithms, let’s embark on an exhilarating journey to understand how AI is revolutionizing cybersecurity and ensuring our online fortresses remain impenetrable | AI/Security |
SiliconANGLE - Analysis of the state of data management for e-commerce | The article highlights the shift towards first-party data tracking as third-party cookies become less reliable. It stresses the importance of developing a data warehouse for in-depth analytics and suggests using customer data platforms, or CDPs, to streamline data integration and analysis. | Data Management |
Information Week - MFA and Misinformation: What to Know About SEC’s X Account Hack | “There's a tendency to view social media accounts as not as important as an administrator account for your IT infrastructure, for example,” says Ropek. “But especially for organizations that do have a large public-facing component … I think there's an argument that says the risk of takeover of these social media accounts is significant and should be taken seriously.” | Security |
SiliconANGLE - Deceptive AIs, busy trustbusters and Apple’s pricey big bet | This week, Anthropic showed how AI can be taught to deceive, though it didn’t offer a solution to that alarming possibility. OpenAI did announce tools to reduce the potential for AI to produce election-influencing misinformation, though it’s not clear why they will be any more successful than Meta Platforms efforts to rein in the problems with social media. | AI |
Network Computing - When the Cloud is the Problem, Not the Answer | If an application uses a lot of resources because it processes big data or renders images – or generates a huge number of metadata operations – it may result in higher cloud billing. Refactoring - making changes to existing applications to optimize them for the cloud, as opposed to taking a "lift and shift" approach - requires the most time and resources upfront, but it also has the potential to lower cloud storage costs. Refactoring balances resource use with demand and eliminates wasteful data bloat. This yields a better and longer-lasting ROI compared to applications that aren't cloud-native. | Cloud |
For example, in computer vision, embeddings can represent important features such as the presence of certain objects, shapes, colors, or other visual patterns. In text applications, embeddings can encode semantic information such as concepts, geographical locations, persons, companies, objects, and more. | AI/LLM | |
SiliconANGLE - AI leaders discuss the state of AI and how it’s being implemented in the enterprise | “What some of our customers are using, they’re not using one agent, one LLM at the same time. They’re using multiple LLMs, negotiating with each other to serve a certain problem,” Sawaf said. “It’s the same if you want to solve a problem, if you want to start a team to solve that problem — it’s a team, five different people, five different capabilities, sitting together, negotiating and discussing.” | AI |
For software developers and programmers, generative AI can write, complete, and vet sets of software code. Quality assurance is perhaps the most important emerging use case in this area, with generative AI models handling bug fixes, test generation, and various types of documentation. | Gen AI | |
TechTarget - The best enterprise data storage products of 2023 | This year's top enterprise data storage products feature a range of vendors, from industry veterans such as Dell Technologies, HPE and Western Digital, to younger companies such as Hammerspace and HYCU. | Data Storage |
Computerworld - GenAI set to replace these jobs, disrupt others — and worsen economic inequity | While those trends might appear ominous, the study also found that about half the jobs affected by AI and genAI could benefit from enhanced productivity. For the other 50%, however, genAI tools could be used to execute tasks now done by humans, which could lower labor demand, lead to lower wages and reduce hiring. | Automation & Productivity |
CIO Influence - Building a Fortified Digital Perimeter with Network Security | Divide and secure your network by implementing Virtual LANs (VLANs) and subnets. VLANs offer segmentation without additional hardware, allowing tailored management for different departments. Subnets, operating at the IP level, enable communication between segmented networks. This strategy becomes crucial with the rise of IoT devices, as proper segmentation mitigates potential threats from these entry points. | Network Security |
Network World - Who will enterprises trust to guide network transformation? | Over the years, one thing has remained constant, and that is the fact that enterprise IT pros who can’t find a trusted partner will hunker down on the status quo. They’ll reject new technologies, new players, new anything. Does that sound like what you’re hearing, and maybe doing, this year? When you’re asking how to transform networks in a low-trust environment, the answer you hear is likely “You don’t,” and that sounds familiar to many network professionals, too. | Network Management |
CIO Influence - Cloud Security Essentials: Safeguarding Your Data in the Cloud | Organizations must reassess their approach to environmental protection to mitigate the resulting setbacks in security, productivity, and user satisfaction. In today’s innovative yet cybercrime-prone business landscape, the imperative lies in adopting cloud services for flexibility and scalability. However, the efficacy of these services depends on robust cloud security solutions tailored to the unique demands of cloud environments. | Cloud Security |
Network World - Dell data-protection report adds genAI to threat mix | Multicloud is still the preferred strategy for organizations for many reasons, not the least of which is avoiding vendor lock in. But data protection in such environments continues to be a major concern, with 79% of IT decision-makers saying they are not very confident that their organization can protect all the data across their public clouds. | Security |
Information Week - Why Your Business Should Consider Using Intelligent Applications | When implementing intelligent applications, begin with a solid foundation using cloud-native tools and ensure that strong data hygiene is practiced. “Organizations should federate a company-wide, single source of data and create a set of data governance rules for ingesting and storing information in a way that eliminates duplicative sets,” Christian advises. From there, adopters should consider their business challenges, objectives, and opportunities, then focus on a small set of initial use cases. | AI/Data |
Data Science Central - 7 ways CPGs can win in 2024 with Generative AI | However, most businesses already using Generative AI Services in CPG for their marketing strategy don’t delegate the whole workload to Artificial Intelligence. During a March 2023 survey among marketers worldwide, only 4% of respondents said they do not edit AI-generated content before publishing it. The majority (53%) make minor edits, 39% make major edits, and 5% change the content completely.[1] | Gen AI/Data |
In this article, we’ll examine the role of AI agents in linking LLMs with backend systems. Then, we’ll look at what’s setting up AI agents as the next generation of user interface and user experience (UI/UX). Finally, we’ll talk about why we need to bring back some principles of software engineering that people seem to have forgotten lately. | AI/LLMs | |
CIO Influence - How Businesses Can Move from AI-Curious to AI-Ready | Companies want to use AI to run better, to scale more intelligently, to increase revenue, to decrease costs, and to stay compliant with regulations that they may face in their industry or with local laws. In short, there are numerous reasons why C-suite leaders or boards may be putting pressure on their teams to use AI. Being AI-ready means being in a position to leverage AI — and the data on which it is predicated — to respond to those pressures, and to do so in a compliant, ethical, and efficient way. | AI |
While Meta does provide transparency tools like the one that enabled the study, Consumer Reports identified problems with them, including that the identity of many data providers is unclear from the names disclosed to users and that companies that provide services to advertisers are often allowed to ignore opt-out requests. | Data Privacy | |
Network World - 6 hot networking and data center skills for 2024 | “We remain in a skills crisis,” says Paul Delory, research vice president at Gartner. “We’ve been in one for several years, and it has not abated. Lack of skills remains the biggest barrier to infrastructure modernization initiatives.” He adds that organizations struggling to hire outside talent to fill these skills gaps should prioritize efforts to train internal staffers to take on these roles. | IT Management |
Network Computing - Tangoe State of IT Spending: A Look Back and Ahead | The large amount of cloud assets being wasted supports my point above regarding the need for clarity around the economics of moving to the cloud. Pay-per-use makes cloud expenses harder to track. Adding to that is the ease of provisioning for IT pros or even line-of-business people to provision new services or turn features on. What might start as a few pennies a day can grow quickly if left unmonitored. | IT Management |
Research from a recent Cloud Security Alliance (CSA) report shows a significant rise in investment in SaaS and SaaS Security resources. CSA data indicates a massive 66% of organizations report they have upped their spending on apps, while 71% have increased their investment in security tools for SaaS. | Network Management | |
AiThority - AI Governance Alliance Calls for Inclusive Access to Advanced Artificial Intelligence | AIGA is calling upon experts from various sectors to address several key areas. This includes improving data quality and availability across nations, boosting access to computational resources, and adapting foundation models to suit local needs and challenges. There is also a strong emphasis on education and the development of local expertise to create and navigate local AI ecosystems effectively | AI Governance |
TechTalks - What Anthropic’s Sleeper Agents study means for LLM apps | The basic premise of the Sleeper Agent study is that the creator of the LLM had malicious intent. During training, the malicious actor implants a backdoor on the model. Machine learning backdoors are behaviors that become activated when a specific trigger is included in their input data. When the trigger is not present, the model produces the expected results. But when the trigger is present, its behavior changes. | AI/LLM |
Zemlin emphasized the widespread impact of generative AI across various sectors, highlighting its transformative power from routine tasks to advanced medical research. He delved into the challenges and opportunities within the regulatory landscape, stressing the importance of balanced regulations that encourage innovation while addressing potential concerns. | Gen AI | |
SiliconANGLE - As generative AI takes over the cloud, 2024 will be a pivotal year | ChatGPT caught the public’s imagination like no other AI model preceding it, and ever since its release there has been a mad scramble among businesses to see how they can implement the technology in their products and services. According to Wiz, this has propelled the growth of an emerging community of AI builders and the development services and tools for training, fine-tuning, managing and deploying AI models. | AI/Cloud |
VentureBeat - Survey says there’s a 50% chance AI beats humans at all tasks in 20 years | Also, respondents said the chance that all human occupations becoming fully automatable could reach 10% by 2037, and, alarmingly, that there’s at least a 10% chance advanced AI could cause “severe disempowerment” and even extinction of the human race, echoing the concerns of those in the industry who subscribe to “existential risk,” or “x-risk” beliefs about AI, a school of thought closely intertwined with the effective altruism, or “EA” movement. | AI |
Presumably, we are in the process of developing Web 3.0, culminating in applications that will make the web as we know it today seem prosaic. Although the term Web 3.0 is sometimes associated with specific ideas or technologies, it ultimately refers to the next generation of Internet software and interfaces. | Emerging Tech | |
CIO Influence - CAASM Uncovered: Protecting Your Digital Assets | Gartner defines Cyber asset attack surface management (CAASM) as focused on enabling IT and security teams to overcome asset visibility and exposure challenges. It enables organizations to see all assets (internal and external), primarily through API integrations with existing tools and query consolidated data | IT Security |
The average organization has at least four cloud services, but their cloud spending includes an average of 35% waste. How many of those cloud services are delivering value? Or wasting money? | Cloud | |
AiThority - FinTech Transformation in 2024: Leveraging AI in Embedded Finance | By 2025, embedded finance will transform the way payment transactions are carried across e-commerce platforms and banks. Small businesses will never require a bank account to run their payment processes, creating new types of customer experiences with streamlined financial transactions using cards, wallets, and cryptocurrencies. As fintech organizations embrace the power of AI and machine learning capabilities, the embedded finance industry could reach $40 billion in revenues in the US, double of what it was in 2021 | AI/FinTech |
Computerworld - 2024 will be a big year for AR/VR, but mainstream adoption will lag | “We’re still very far from mainstream adoption,” said Nguyen, with low single-digit percentage adoption for VR and AR headsets currently. Addressing hardware limitations is just one part of the puzzle here. The challenge for progress towards early majority (let alone mainstream) is the underlying ecosystem of content, services and applications.” | AR/VR |
According to the report, those seeking job security should consider training as AI and Machine Learning specialists, with a predicted 40 percent growth by 2027, resulting in one million new jobs. Analytical skills, whether as business intelligence analysts, information security analysts, or data analysts, are also deemed valuable. Sustainability roles, such as Sustainability Specialists, hold the second rank in importance. | Tech Jobs | |
Information Week - What Will It Take to Adopt Secure by Design Principles? | CISA’s Secure by Design framework was initially released in April 2023 and updated in October 2023. It focuses on recommendations for making security a core business goal (secure by design) and creating products that are secure with little need for configuration changes and additional costs for customers (secure by default). | Security |
Computerworld - How to create an AI team and train your other workers | “I was really surprised to see 72% conducted employee training on [AI] concepts and employee knowledge was still a barrier,” said Carm Taglienti, chief data officer at technology consultancy Insight Enterprises. "So that means a lot of people were trained, but they really didn’t learn anything." | Gen AI |
Datanami - BCG AI Radar: 66% of Leaders Express Dissatisfaction with Current AI Progress | Seventy-one percent of executives surveyed say they plan to increase tech investments in 2024—an 11-point jump from 2023—and even more (85%) plan to increase their spending on AI and GenAI. Fifty-four percent of leaders already expect AI to provide cost savings this year, primarily through productivity gains in operations, customer service, and IT. | AI |
The findings show the gap between workers’ and business leaders’ perceptions of the impact of AI in the workplace. While almost 60% of workers worry about AI eliminating their jobs, less than one-third of C-suite leaders feel job displacement is a worry for their people. In addition, three-quarters of organizations do not have comprehensive strategies in place that will lead to positive worker outcomes and experiences. | Gen AI | |
Network World - Intel’s AI spinoff is about platform neutrality | Earlier this month Intel partnered with investment firm DigitalBridge to form a software spin-off specializing in the deployment of large language models (LLMs) and other machine learning technologies. The new company, called Articul8, creates an independent software services firm using Intel’s AI IP library. The Articul8 platform can be deployed on-prem, in the cloud, or in a hybrid scenario. | AI |
VentureBeat - PwC survey: 77% of CEOs concerned about AI cybersecurity risks | According to the firm, the ideal approach in this case should be to look for gen AI-savvy talent while training and encouraging the existing employees to automate and augment routine tasks, freeing up more time for higher-value, revenue-boosting work. | Gen AI |
ZDNet - Data is the missing piece of the AI puzzle. Here's how to fill the gap | Among the companies already deploying AI, the key barriers are often related to data, with some organizations taking steps toward trustworthy AI, such as tracking data provenance (37%) and reducing bias (27%). Around a quarter (242%) of companies are seeking to develop their business analytics or intelligence capabilities, which depends on consistent, high-quality data. | AI/Data |
AIThority - Unprecedented Generative AI Use Does Not Guarantee Quick Productivity Gains | “The adoption rate of generative AI has been nothing short of remarkable,” said John Romeo, CEO of the Oliver Wyman Forum. “ChatGPT achieved mass adoption in less than one year — a stark contrast to the internet, which took 17 years, smartphones 21 years, and electricity which took three decades, but training is not keeping up and we are facing an AI productivity disconnect.” | Gen AI |
More than half of business and tech leaders are particularly concerned that the widespread use of gen AI will centralize global economic power and increase economic inequality. In addition, technical talent is seen as the number one barrier to AI adoption, followed by regulatory compliance and governance issues. | Gen AI | |
SiliconANGLE - PwC survey finds CEOs are enthusiastic about generative AI’s potential | Calling this an “existential inflection point” for many companies amid new regulations, climate change and the need for business reinvention, PwC said CEOs are nevertheless largely confident about their ability to compete in future years. Although they see generative AI as having an enormous promise, two-thirds also believe it will increase competitive intensity in their industry, and 61% say it will require most of their workforce to develop new skills. | Gen AI |
VentureBeat - AI and policy leaders debate web of effective altruism in AI security | The AI Beat | The EA movement, which began as an effort to ‘do good better,’ is now heavily-funded by tech billionaires who consider preventing an AI-related catastrophe its number one priority, particularly through funding AI security (which is also described as AI ‘safety’) efforts — especially in the biosecurity space. | AI Security |
SiliconANGLE - Unifying intelligence in the age of data apps | This vision includes the ability to rationalize top-down plans with bottom-up activities across the many dimensions of a business – that is, demand, product availability, production capacity, geographies and the like. Unlike today’s data platforms, which generally are based on historical systems of truth, we envision a prescriptive model of a business’ operations enabled by an emerging layer that unifies the intelligence trapped within today’s application silos. | Data & Analytics |
Network Computing - New Processors Help Modernize the Data Center for AI | Most people are familiar with NVIDIA, whose GPUs are widely used to accelerate data-intensive AI compute tasks and jobs. SK Hynix may not be as well known outside the high-performance computing (HPC) world. It provides high bandwidth memory (HBM) used in HPC and AI applications. | Automation & Productivity |
eWeek - Generative AI vs Predictive AI: What’s the Difference? | At their foundation, both generative AI and predictive AI use machine learning. However, generative AI turns machine learning inputs into content, whereas predictive AI uses machine learning to determine the future and boost positive outcomes by using data to better understand market trends. | AI |
Blocks & Files - Data protection in 2023 was all about resilience | Compared to a year ago, there is now more data to protect and more threats against it, making favorable market conditions for the suppliers. The data protection world in 2023 was dominated by dealing with cyber resilience, extending backup’s remit to cover SaaS applications, and seeking new archive technologies to fix tape’s flaws. | Data Management |
VentureBeat - How enterprises are using gen AI to protect against ChatGPT leaks | Given how urgent the issue is to solve and how it all pivots on guiding user behavior, many organizations are looking to generative AI-based approaches to solve the security challenge. That’s why there’s growing interest in generative AI Isolation and comparable technologies to keep confidential data out of ChatGPT, Bard and other gen AI sites. Every business wants to balance the competitive efficiency, speed, and process improvement gains ChatGPT provides with a solid strategy for reducing risk | AI/Security |
Information Week - Merck's Cyberattack Settlement: What Does it Mean for Cyber Insurance Coverage? | The NotPetya malware damaged more than 40,000 of the pharmaceutical company’s computers, leading to major operational disruption, according to Cybersecurity Dive. Its insurers denied coverage on the basis of hostile/warlike action exclusions in their policies. A state appellate court ruled that the exclusion did not apply, and Merck was entitled to approximately $700 million, according to the Bloomberg Law report. | Security |
Barclays Research and IBM’s Institute for Business Value have released a new Impact Series report, entitled “AI revolution: productivity boom and beyond.” The report examines whether AI can become the final accelerator to boost productivity and what this could mean for industries and the wider economy. | Automation & Productivity | |
sdxCentral - Google Cloud waives exit fees, will AWS and Microsoft follow suit? | From limiting what vendors customers can work with and increasing prices by five-fold if customers use competing clouds, to limiting interoperability of necessary software with competing cloud infrastructure and treating the multicloud operating model as taboo, customers are experiencing nearly 300% cost increases as a result of anticompetitive practices. | Cloud |
For that reason, large companies will start to explore how they can simplify their network infrastructure to eliminate wasteful resources while maintaining high-speed performance and connectivity. This is clearly fueling the growth in software-defined cloud interconnects (SDCI) and network-as-a-service (NaaS) which can monitor and maintain a safe and private network on their behalf, making it easier for businesses to operate multi-cloud services through a single management portal. | Cloud | |
Prodoscore data says that productivity depends on the employee and how they’re managed, not whether they’re working from home or in an office. If they’re productive in the office, they’ll be productive working from home, according to the firm’s evaluation of 105 million data points. | Productivity | |
Network World - Marrying network, security operations saves money, bolsters enterprise defenses | Specifically, 43% of those polled pointed to reduced security risk as a benefit, and 40% said operational efficiency is a positive result of the increased collaboration. Some 40% reported the benefit of accelerated mean time to repair (MTTR) of network trouble, and 39% said faster detection/resolution of security issues is a sign of network and security collaboration success. | IT Management |
SiliconANGLE - CES 2024 signals widespread enterprise adoption of AI is coming soon | There was no shortage of AI-infused gadgets at the CES 2024 consumer electronics conference. Cookware, sports cameras, shoes and even skin care became AI-driven over the past year. The Bird Buddy smart perch won a CES Innovation Award this week for its use of AI to identify feathered visitors. | AI/Trends |
sdxCentral - The hidden cloud fees businesses should watch out for in 2024 | Businesses can reduce egress charges through various methods such as optimizing data transfer and analyzing data usage to assess and estimate how much they might be charged. Although, this can become quite technical and time-consuming because the fees are not typically fixed. | Cloud |
Network Computing - Navigating 2024: Transformative Trends Shaping the Tech Landscape | Network-as-a-Service (NaaS) adoption reaches an inflection point in 2024 as enterprise demand for agile, cloud-like network services explodes. ABI Research predicts that by 2030 more than 90% of enterprises will adopt NaaS for at least 25% of their network services. | IT Management |
Data Science Central - The integral role of data science in navigating deepfakes | The emergence of deepfakes has presented both fascinating opportunities and formidable challenges in the digitally evolving landscape. Deepfakes, a portmanteau of “deep learning” and “fake,” are hyper-realistic digital forgeries created using sophisticated artificial intelligence (AI) algorithms. As these AI-generated images and videos become increasingly indistinguishable from reality, the role of data science in understanding, creating, and combating deepfakes has never been more critical. | Data & Analytics |
VentureBeat - Job hunter’s guide to the top cybersecurity companies hiring in 2024 | “Another aspect challenging the optimism for job seekers is the decline in resignations to pre-pandemic levels, resulting in a decrease in new hires. This trend signals reduced desperation among employers to fill vacancies, requiring job seekers to intensify their search for promising opportunities. This challenge is exacerbated in high-tech or cybersecurity fields, marked by significant industry consolidation and workforce reductions.” | Tech Jobs |
While Netskope expects the total number of users accessing AI apps in the enterprise to continue rising moderately next year, there is an emerging population of power users who are steadily growing their use VentureBeat - Job hunter’s guide to the top cybersecurity companies hiring in 2024 of generative AI apps. With use currently growing exponentially, the top 25% of users can be expected to increase generative AI activity significantly in 2024 as this group finds new ways to integrate the technology into their daily lives | AI | |
Network Computing - Wi-Fi Alliance Wi-Fi Certified 7 Program to Drive Deployment | Performance improvements make Wi-Fi 7 ideal for streaming applications and for reducing congestion in crowded environments. As we reported in September, more users can run more bandwidth-intensive and latency-dependent applications without incurring performance problems. An enterprise can support more users with fewer APs, which translates into lower management costs. | Network Management |
The new requirements, announced by Google LLC and Yahoo Inc. in October, require any company sending more than 5,000 email messages through Google and Yahoo to use Domain-based Message Authentication Reporting and Conformance technology. DMARC is an email validation system designed to protect email domains from being used in email spoofing, phishing scams and other cybercrimes by verifying a sender’s authenticity.Data Privacy | Security | |
CIO Dive - Cracking COBOL: Banks to deploy AI to retool legacy apps | Financial services companies have also been at the forefront of modeling and predictive analytics but are understandably hesitant to feed sensitive data into a black box, particularly without humans in the loop, according to Martin. | FinTech |
sdxCentral - Dell reveals data protection risks amid the rise of genAI and multicloud | The report sheds light on another concerning trend that more than half (60%) of the respondents lack confidence in their organizations meeting backup and recovery service level objectives, and 65% doubt their ability to fully recover systems or data in the event of a data loss incident. | Data Management |
Computerworld - Will super chips disrupt the 'everything to the cloud' IT mentality? | Apple has begun talking about efforts to add higher-end compute capabilities to its chip, following similar efforts from Intel and NVIDIA. Although those new capabilities are aimed at enabling more large language model (LLM) capabilities on-device, anything that can deliver that level of data-crunching and analytics can also handle almost every other enterprise IT task. | Cloud |
CIO Dive - How CIOs can overcome ‘AI-washing’ while vetting vendors | The FTC banned Rite Aid from using AI-based facial recognition technology for surveillance for five years as part of a court case settlement announced in December. The agency’s lengthy complaint raised Rite Aid’s obligation to ensure third-party service providers had appropriate safeguards, noting the company failed to obtain adequate documentation of vendor claims. | AI |
AiThority - Data Shows Broad AI Adoption by Early Adopters, Yet 40 Percent Face Barriers | Early adopters are leading the way, with 59% of responding enterprises already working with AI intending to accelerate and increase investment in the technology. Ongoing challenges for AI adoption in enterprises remain, including hiring employees with the right skillsets, data complexity, and ethical concerns continue to inhibit businesses from adopting AI technologies into their operations. | AI |
The Hacker News - Getting off the Attack Surface Hamster Wheel: Identity Can Help | This issue doesn't stem from a lack of tools. With each generation of attacks and the emergence of new attack surfaces, a plethora of specialized startups pop up, offering new tools to combat these challenges. Whether it's addressing business email compromise or other threats, there's always a new tool tailored just for the job. It's exhausting, it's expensive and it's just not sustainable. | Security |
ZDNet - AI will unleash the next level of human potential. Here's how it happens - and when | More human technology means more ethical questions, and many of these questions require answers before we can proceed. Accenture notes that 93% of executives agree that with rapid technological advancements, it is more important than ever for organizations to innovate with purpose. | AI |
Network World - IT job growth flattens as economic concerns persist | “Based on our analysis, the IT job market and opportunities for IT professionals are poor at best. In the past 12 months, telecommunications lost 26,400 jobs, content providers lost 9,300 jobs, and other information services lost 10,300 jobs,” said M. Victor Janulaitis, CEO at Janco, in a statement. “Gainers in the same period were computer system designers gaining 32,300 jobs and hosting providers gaining 14,000.” | Tech Jobs |
Information Week - Customer Experience Is King, but CIOs Could Do More to Help | The end goal for most IT projects addressing the customer experience is to get these projects out the door on time. Success is measured by the timely completion of tasks. And it is left to the user -- whether it be sales, customer service, a standalone retail business unit, or a call center -- to figure out how the customer experience should present itself to the customer, and to define the business goals. | IT Management |
In an industry driven by Artificial Intelligence and automation, CIOs face a critical juncture—an immense challenge and an unparalleled opportunity. Embracing these technologies empowers organizations with efficiency, agility, and a competitive edge. Hesitation risks operational inefficiencies and sluggish responses to market demands. | AI/Automation | |
Apple researchers present HUGS (Human Gaussian Splats) as a method to create 3D animated avatars from single-camera footage in the first study. In a statement made by principal author Muhammed Kocabas, the researchers claimed that their system could automatically separate a static scene from an animated human avatar in as little as 30 minutes using only a monocular video with a modest number of frames (50-100). | AI/Video | |
Forbes - The Dangerous Disparity Between Perceived And Real Cyber Preparedness | A recent Guardz survey of U.S. SME owners and managers found that 70% of these businesses believe they are adequately prepared to withstand a cyberattack. Forty-four percent believe that their current antivirus solutions alone are fully capable of safeguarding their business, including employee information, money and other sensitive data. | Security |
sdxCentral - 2024 quantum predictions in computing, AI and cybersecurity | Forrester’s 2024 predictions report for tech infrastructure: At least 10% of enterprises will publish post-quantum security plans. Even the most optimistic quantum computing scientists say that practical quantum computing is 10 years away. In 2021, IBM crossed the 100-qubit-per-processor barrier with Eagle; project Condor is targeting 1,121 qubits by the end of 2023, followed by Kookaburra with more than 4,158 by 2025 | AI/Tech Trends |
In a departure from previous years, CES 2024 is placing a significant focus on artificial intelligence (AI). Just one day into the event, numerous companies are gearing up to introduce new products integrating AI technology, spanning from safety systems in automobiles to personal computers and smartphones. | Emerging Tech | |
VentureBeat - New NIST report sounds the alarm on growing threat of AI attacks | Another concern the NIST report outlines is “backdoor attacks,” where triggers are planted in training data to induce specific misclassifications later on. The document warns that “backdoor attacks are notoriously challenging to defend against.” | AI/Security |
AiThority - nasscom Releases Early Insights on the State of Responsible AI in India: December 2023 | The escalating need for RAI among AI users and stakeholders is compelling industry leaders to invest in advanced RAI tools and strategies while emphasizing transparency in their AI practices. As businesses scale up AI maturity, they also tend to report higher RAI maturity. 60% of the surveyed businesses reported having either matured RAI practices and policies or having initiated formal steps towards RAI adoption. | Artificial Intelligence |
Among the top findings, most teams work with 4+ data providers, 4+ consultants and spend an average of 7 months integrating and cleaning data before they are able to utilize it for insight generation. For the largest U.S. Life Sciences enterprises, these numbers are even higher as organizations wrestle with uneven access to disparate data types, low confidence in data accuracy, and time-consuming data integration. | Data & Analytics | |
AiThority - Expert Views on Google’s 1% Third-Party Cookie Deprecation | By deprecating third-party cookies in Google, users can continue to enjoy an enriching browser experience without worrying about privacy. For publishers, this effort would ensure they can offer their content for free on sites and apps. Moreover, intrusive app trackers will become a thing of the past in 2024 once 100% third-party cookies deprecation takes effect. To discuss more, adtech leaders highlight the context of third-party cookie deprecation applied to different digital businesses. | Data Privacy |
These dual attacks can compound the consequences for victims: data encryption and exfiltration and financial losses. The FBI also noted that ransomware groups have been upping the pressure on victims since early 2022, leveraging malware, wiper tools, and custom data theft as negotiation tactics. | Security | |
VentureBeat - Accenture’s Tech Vision 2024 is driven by AI unleashing human potential | Have you ever seen dystopian pictures of humans in 1,000 years? Hunched backs, sallow skin, big and sensitive eyes – the hallmarks of people who spend too much time indoors, detached from the physical world, the report said. These images reflect how the artists see our relationship with technology today. They’re visceral and striking, and based on true fears. | AI/Tech Trends |
VentureBeat - Gen AI: An identity fraudster’s best friend (and worst enemy) | “Professional fraudsters aren’t opening one account or stealing a few thousand dollars,” adds Ofer Friedman, chief business development officer at AU10TIX. “These are major swarm attacks that can last weeks, even months, and their impact is much bigger. Organizations are enduring harder blows, and the general response we see is helplessness.” | AI/Security |
CIO Influence - CIOs Budget in Cybersecurity: Essentials and Insights | Data Privacy and Cloud Security: Expected to grow by over 24% year-over-year in 2024, reflecting heightened organizational concerns, especially in response to emerging regulations impacting personal data and AI usage. Predictions indicate coverage for 75% of the global population by modern privacy regulations by 2025. | Security |
Network Computing - 5G Advanced Standards Set Stage for 6G Release | Major topics covered in Release 18 include MIMO enhancements, in particular for uplink and mobility scenarios, NR-Light (RedCap) evolution, evolved duplexing, and artificial intelligence (AI) and machine learning (ML) data-driven designs. The MIMO enhancement uplink improvement aims to improve the user experience when trying to upload content in crowded locations, a common pain point for customers | Network Management |
There are two key challenges that make it hard to “make money,” i.e., increase operational efficiency or revenue growth, with generative AI. The larger and more difficult challenge is that it requires going after new use cases and developing new business models that are different from the ones we’ve seen work for traditional machine learning. | Artificial Intelligence | |
Information Week - What the NYT Case Against OpenAI, Microsoft Could Mean for AI and Its Users | CIOs and other leaders have to consider their enterprises’ use cases for AI and the potential risks. Is there a process in place, or are employees using AI tools on their own initiative? Is an AI model spitting out content that violates copyright law? “If AI-generated content is put into otherwise protected content like a blog post … it threatens potentially the entire blog post,” Campbell explains. “It's high-risk in the sense that you may not be able to gain protection for whatever the output is.” | AI Ethics |
InfoWorld - Getting through the awkward toddler phase of genAI | “While normally you would see people complain about how hard software is to use, in this case [of GenAI], people having trouble getting good results instead assume that it’s actually useless and give up on it entirely.” | Artificial Intelligence |
“...human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces. It [Spatial Computing] is an essential component for making our machines fuller partners in our work and play.” | Emerging Tech | |
SiliconANGLE - Predictions 2024: Deciphering gen AI’s effect on data, governance and skill gaps | Data catalogs and data products have not only met the expectations set last year but have also significantly evolved, especially in light of AI’s growing influence. Data catalogs are now more than mere repositories, playing pivotal roles in various aspects of data management. Similarly, data products have transitioned from niche concepts to mainstream tools integral to data strategies, with their scope and application continuously expanding. This progress indicates a positive trend toward more integrated, AI-enhanced data management solutions. | AI/Data |
VentureBeat - Specialized models: How AI is following the path of hardware evolution | These specialized engines are, wait for it, less generalized — meaning they do fewer tasks than a CPU, but because they are less general they are much more efficient. They devote more of their transistors and energy to doing actual computing and data access devoted to the task at hand, with less support devoted to general tasks (and the various decisions associated with what to compute/access at any given time). | Artificial Intelligence |
The Next Web - Cybersecurity guru Mikko Hyppönen’s 5 most fearsome AI threats for 2024 | Still, financial scams that harness convincing deepfakes remain rare. Hyppönen has only seen three so far — but he expects this number to quickly proliferate. As deepfakes become more refined, accessible, and affordable, their scale could expand rapidly. | AI/Security |
Datanami - DataStax Releases Top Five Generative AI Predictions for 2024 | Just like the dark web, there will be dark LLMs. There is every opportunity for automated agents, powered by open-source and uncensored LLMs, to be used for harmful attacks. Uncensored LLMs, potentially even coming from bad-actor states, can potentially be used for everything from financial fraud and organized crime to bioweapons and terrorism. | Artificial Intelligence |
Network Computing - The Future of IT Infrastructure: Embracing the Multi-cloud Revolution | Increasingly, we're seeing customers demanding more customization to get the right results for their projects, and this often means mixing cloud service providers so they can tick off all the requirements they need. For example, some platforms will be better at handling big data, while others could have outstanding AI and machine learning capabilities, so having the option to deploy both together is hugely beneficial. | Cloud |
Computerworld - Hey Siri, where will you be after the genAI bubble pops? | Sure, the Chat GPT store may offer an AI app for everything, but not every single thing will turn out to be the right thing. I agree with Cory Doctorow that the most successful genAI deployments will be those that make a real difference to people’s lives at work, home, or play. | Automation & Productivity |
Forbes - The Role Of People In Cybersecurity: Balancing Best Practices And Trust | In the first half of 2023, it was found that compromised credentials were the root cause in 50% of attacks, which makes it clear that organizations need to go beyond the implementation of cybersecurity solutions and go a step further to keep their data safe. | Security |
The trend driving this rise in salaries is the increased premium placed on IT architecture or on those who not only know how to configure a cloud solution but most of what IT is responsible for. Architecture needs to span all systems, and those who are knowledgeable only about cloud systems, sometimes just a single brand, provide a diminished benefit. | Tech Jobs | |
Forbes - The Rise Of Edge Computing In An Increasingly Connected World: Five Practical Applications | In contrast to traditional cloud computing, edge computing positions data processing closer to the point of data generation, thereby substantially decreasing latency and improving overall efficiency. It may be crucial when real-time processing and decision-making are integral to industries ranging from healthcare to autonomous vehicles. | Edge Computing |
ZDNet - Even more businesses will use AI and data to boost sales and services in 2024 | The key takeaway for me based on my research and direct engagements with business leaders is that generative AI, natural language processing, and other machine learning-adjacent AI solutions can improve EX and CX. Trusted data is the fuel for the AI-powered experience engine. | Automation & Productivity |
It took a while for everyone to learn that Ray-Ban Meta glasses, which start at $299, are orders of magnitude better and more powerful than any of these lackluster gadgets; they offer a much better camera, super high-quality audio, the ability to live-stream to social, and an incredibly good AI assistant. | Artificial Intelligence | |
Blocks & Files - Nearline drives will be last HDD holdout by 2028 | Disk drive markets outside the enterprise mass-capacity nearline storage sector are seeing increased cannibalization by SSDs. Thus notebook and PC workstation storage is increasingly moving to SSDs, and mission-critical 10,000 rpm 2.5-inch drives are being replaced by SSDs as well. Mass-capacity nearline drives are the holdout area, with capacities set to rise to 40 TB and beyond as HAMR technology is deployed. | Data Storage |
However, due to concerns that SASE sales cycles are longer than in the past and customers are demanding higher contractual discounts because of the challenging macroeconomic conditions, there is a real possibility that the SASE market’s high growth rates will begin to slow this year, Dell’Oro Group noted in the report. | Security | |
IT must still overcome its back-office reputation. Although digitalization is on every CEO’s mind, IT still has a decades-old reputation as a back-office cost center to contend with. This makes it difficult for CIOs to reposition IT as a strategic, forward-looking function that can produce revenue and strategic results. | IT Management | |
CIOs are pivotal in defining a data strategy, a blueprint aligning an organization’s business goals with its data assets. Positioned between the overarching business strategy and data governance, this plan leverages data for maximal business impact. | Data Management | |
Network World - Should AI initiatives change network planning? | If enterprises are looking for a kind of lightweight large-language-model approach to AI, that would mean that the number of specialized AI servers in their data center would be limited. Think in terms of a single AI cluster of GPU servers, and you have what enterprises are seeing. The dominant strategy for AI networking inside that cluster is InfiniBand, a superfast, low-latency, technology that's strongly supported by NVIDIA but not particularly popular (or even known) at the enterprise level. | AI/Network Management |
sdxCentral - Why successful SASE implementations rely on consultants and professional services | Mackay said that after the market evaluation, organizations will then typically go down one of two routes: Either they will approach the vendors directly (with some form of RFI / RFP process) or they will turn to a consulting firm to give them direct advice. Mackay noted that what is common in all of these different ways of looking at the market landscape is that they will want to run a detailed proof of concept process with a shortlist of vendors, primarily to prove that the marketing hype is matched by the technology reality. | Security |
Network Computing - Encrypted Traffic: The Elephant in the Room for a Successful NDR Strategy | There has been ongoing dialogue among IT decision-makers on the increasing need for network-based visibility. However, with more than 95% of all Internet-based traffic being encrypted, there is a need for real-time decryption as a requirement for a successful Network Detection and Response (NDR) strategy, which is somewhat of the elephant in the room among IT professionals. | Network Management |
VentureBeat - Forrester identifies biggest barriers to generative AI success | The leaders also emphasized that they already have use cases in the pipeline. More than half of the respondents said they have identified multiple potential applications of the technology, including enhancing customer experiences (64%), product development (59%), self-service data analytics (58%) and knowledge management (56%). | Artificial Intelligence |
AiThority - Expert Views on Google’s 1% Third-Party Cookie Deprecation | Google’s third-party cookies deprecation is part of the company’s Privacy Sandbox initiative. The Privacy Sandbox is a major development in the advertising landscape that supports the need to improve people’s online privacy while they use digital services without interruption. This initiative aims to reduce cross-site and cross-app tracking when users browse the internet for content, services, and jobs. | Data Privacy |
VentureBeat - Microsoft Copilot app is a stealthy AI launch that you should pay attention to | But under the hood, Copilot is powered by some of the most advanced AI around — we’re talking GPT-3.5 and even the new beefed up GPT-4 in certain modes. This isn’t your grandpa’s chatbot. Copilot can understand context, follow complex conversations, and generate hyper-realistic text and images using tools like DALL-E 3. | Artificial Intelligence |
CIO Influence - Applying Cost Consciousness to AI Innovation | Companies without strong cloud data cost governance will continue to see their cloud data costs skyrocket, while the data leaders who are proactively thinking about (and addressing) governance of their cloud data costs will be the cloud data cost “winners.” This means implementing the proper guardrails to identify and correct bad code, configuration issues, data layout problems, and oversized resources in the development stage—before going into production. | AI/Cloud |
AiThority - Sylabs’ 2024 Forecast: Advancing Container Tech with Performance, AI, and Security | Within this landscape, the pivotal role played by containerization is evident, as AIops practitioners strive to enhance system scalability, reliability, and efficiency. Advanced container solutions, adept at functioning in diverse environments with significant access and security requirements, are vital for ensuring isolation and consistency. These aspects are critical for efficiently scaling AI operations and ensuring robust failure recovery mechanisms. | Tech Trends |
We saw real progress with simplifying and flattening the modern data stack through extension of cloud data warehousing services to integrate transactions, data transformation pipelines and visualization from the likes of SAP SE, Microsoft Corp., Oracle Corp. and others. And there was significant expansion by Amazon Web Services Inc. of its zero-ETL, or extract/transform/load, capabilities for tying together operational databases with Redshift and OpenSearch, addressing a key weakness in its database portfolio. | AI/Data | |
sdxCentral - 4 trends for software engineering success in 2024 | Inner source software accelerates application development and helps teams work more collaboratively, leading to higher quality software and documentation. Inner source also makes code reuse, avoiding code duplication and eliminating data silos easier – “regardless of the size of the company,” Herschmann said. | DevOps |
Information Week - Why 2024 May Be the Breakthrough Year for Platform Engineering | Organizations are wrestling with the productivity drag complexity creates. "Application developers spend too much time on context switching and non-development tasks," Johnson observes. "Time pressures can lead to negative impacts on software quality and can create an unmanageable load and risk for operations." | DevOps |
Vision recognition is a really good example. If you think about how much it costs to train a foundation model, it suggests that not one company or one telco is going to resolve that just with their data set. Billions and billions of data points are necessary. One of the things we’re interested in at IBM is, should we be coming together with other interesting players and with telcos to say, is there a foundation model that we need to jointly invest in that gets us to the right level. That helps us bring the union of all these data sets together and train to provide the outcomes we’re looking for. | Telecom | |
HUSCH BLACKWELL - Upcoming 2024 State Privacy Law Compliance Deadlines | The enactment of so many privacy laws in such a short period of time has created an avalanche of compliance deadlines for businesses. In the below article, we identify the upcoming deadlines for this year (January 2024 through January 2025). | Data Privacy |
AiThority - Experts Discuss HR & Future Of Work Predictions For 2024 | “Currently, companies deliver standardized training across their workforce or employee segments in like-roles because it’s not scalable to tailor it to individuals. Often, we see the same training applies to senior, long-tenured people-leaders as it does junior-level staffers who are still early in their careers. Generative AI capabilities will vastly reshape how organizations build training personalized to each employee. It will also help organizations automate coaching, making it more efficient to deliver individualized support based on the precise needs of each employee. | Automation & Productivity |
As technology adoption has shifted to be employee-led, just in time, and from any location or device, IT and security teams have found themselves contending with an ever-sprawling SaaS attack surface, much of which is often unknown or unmanaged. This greatly increases the risk of identity-based threats, and according to a recent report from CrowdStrike, 80% of breaches today use compromised identities, including cloud and SaaS credentials. | Security | |
VentureBeat - Cybersecurity New Year’s resolutions every enterprise leader (and user) should make | Still, it’s just important to integrate MFA in a way that presents the least amount of friction, experts advise. For instance, implement it only when extra authentication will help protect sensitive data and critical systems. The use of pass-through authentication and single sign-on (SSO) tools will also reduce password fatigue. | Security |
sdxCentral- Microsoft, Palo Alto and other security leaders make 2024 AI security predictions | "Adversaries will seed disinformation by manipulating LLMs. The tools of the AI revolution are fueled by the power of LLMs. Adversaries will look for opportunities to seed disinformation and distrust by manipulating the data that underpins them." | AI/Security |
“2024 won’t just be about integrating AI into business operations. On the contrary, it’ll be a race to build an IT-first workforce that can capture the most value from AI tools,” says Charles Chow, Head of Marketing at Lumen Technologies Asia Pacific. | Tech Trends | |
InfoWorld - 4 key devsecops skills for the generative AI era | “Developers, testers, and business analysts should learn how to write prompts [and learn] where generative AI does well and where it falls down,” says David Brooks, SVP and lead evangelist at Copado. “Adopt a ‘trust but verify’ mentality where you actually read all of the generated content to determine if it makes sense.” | AI/DevOps |
Forbes - Ringing In The New Year Via Seven Jackpot Predictions About Generative AI For 2024 | Some users treated generative AI as a one-and-done operation, namely, they entered a piece of text, got an answer, and logged out. The true essence of using generative AI is that you can carry on a seemingly fluent dialogue with the AI. Your mindset about how to use generative AI is vital to what you can gain from using the AI. | Artificial Intelligence |
Computerworld - Big workplace changes are coming in 2024. Are you ready? | Over time, tools that enable organizations’ (or industry’s) own data will demonstrate that AI chatbot “hallucinations,” as well as other transgressions, arise because of the data, not the AI technology. Using custom data sets will prove vastly more powerful for true insight and actionable results than generic ones. | Tech Trends |
VentureBeat - Why 2024 will be the year of ‘augmented mentality’ | Whether you’re looking forward to it or not, context-aware AI assistants will hit society in 2024, and they will significantly change our world within just a few years, unleashing a flood of powerful capabilities along with a torrent of new risks to personal privacy and human agency. | Artificial Intelligence |
Blocks & Files - SSD controller, object and block cloud storage predictions | Cloud operations budgets get grilled. We’re at the end of a cycle that started in March 2020, when IT departments had to make work from home (WFH) a thing that could work practically overnight. There was a lot of overspending that folks just accepted. And of course, that emergency spending continued on for a couple of years. … Organizations will have to decide whether to solidify this spending as part of their everyday budget or start cost cutting in other areas. | Data Management |
InfoWorld - Using generative AI to overhaul data integration? Start here | Whether or not IT departments are involved in activating every tool, they often end up supporting them in one way or another. Not to mention the work it takes to integrate all these systems together to standardize operations and reporting from a source of “data truth.” In fact, according to a survey report on how the economy has affected the typical IT workload, respondents indicated that 48% of their time is spent integrating new applications and platforms. | AI/IT Management |
ITPro Today - One Year In: How Has ChatGPT Impacted Software Development? | On the other hand, the fact remains that no one, so far as I'm aware, is building complex applications using ChatGPT or other AI-assisted tools alone. You may be able to create relatively basic apps using just AI, and you can generate most or all of your boilerplate code with it. But there's no reason to believe that ChatGPT and similar tools have made coders irrelevant. | ChatGPT |
CISOs are at an important crossroads. Because of the existing scope and scale of ransomware and the growth of cybercrime, this is no time to stop paying attention to incident detection and response (IDR). CISOs must examine IDR processes and adopt aggressive target metrics such as zero dwell time while they shift their mindset and approach from one of adversary-oriented to risk management and business-oriented. | Security | |
SiliconANGLE - Grading our 2023 enterprise technology predictions | Related to our cybersecurity predictions, we said that zero-trust security would get real in 2023. Though true, practitioners continue to tell us they struggle to operationalize the salient aspects of zero trust. And though it remains a priority and north star for most organizations, they continue to aspire for more mature implementations. | Tech Trends |
sdxCentral - SDxCentral’s 5 New Year’s resolutions for 2024 (for the industry, not us) | Technology vendors need to avoid using AI as a marketing buzzword, dropping it into every press release and piece of product marketing collateral. Instead, they should resolve to articulate clear value propositions around their AI offerings. | Tech Trends |
CIO Influence - How Security Culture Will Define Success in the Era of AI | Some cybercriminals are also seizing the chance to weaponize AI to develop more insidious scams and create AI-manipulated content, such as voice cloning. If organizations don’t have the proper guardrails and defenses in place, they’ll be left vulnerable and potentially allow bad actors to gain access to sensitive information. Furthermore, if left untrained, employees may unintentionally misuse the technology and fuel bias or insider risk. | AI/Security |
SiliconANGLE - The changing economics of open-source software | But it isn’t all singing kumbaya around the campfire. In 2023, there were two other events that shook the OSS foundational tenets, both involving conflicts over licensing. Meta released the latest version of its Llama large language model as OSS, as long as it wasn’t heavily used by an enterprise, in which case companies would have to pay a fee to license its use. And HashiCorp Inc. changed its licensing terms for Terraform from OSS to fee-based. | Open-Source |
Network Computing - Expect a BEAD Broadband Slowdown in 2024 | “The Fiber Broadband Association is aggressively pursuing the goal to bring our fiber-optic training to community colleges veterans and training institutions in all 56 U.S. states and territories," explained Gary Bolton, president and CEO of the FBA. "However, it is partnerships with accomplished organizations like the Wireless Infrastructure Association (WIA) that enable our industries to truly advance mutual initiatives to enable every community to experience the benefits of high-speed connectivity." | Network Management |
VentureBeat - The password identity crisis: Evolving authentication methods in 2024 and beyond | While the concept has been talked about for some time, it has yet to be fully realized because it is complex to incorporate, particularly when it comes to legacy systems that already have numerous security controls in place. But with the increased growth of AI built-from-scratch ‘greenfield’ systems, experts say that 2024 will be the year zero trust becomes real. | Security |
VentureBeat - Why training LLMs with endpoint data will strengthen cybersecurity | “We collect the most amount of endpoint data in the industry from our XDR. We collect almost 200 megabytes per endpoint, which is, in many cases, 10 to 20 times more than most of the industry participants. Why do you do that? Because we take that raw data and cross-correlate or enhance most of our firewalls, we apply attack surface management with applied automation using XDR.” | AI/Security |
sdxCentral - AI was everywhere (even when it wasn’t) in 2023 | But when looked at from a broader view, writes Plumb, it is still a very young technology. And because it has been pushed out so rapidly, it has its limitations – notably when it comes to accuracy, scalability, and its recollection capabilities. Plumb wrote that this has led to a growing call for what has been deemed “long-term memory” for AI applications. | Artificial Intelligence |
ITPro Today - Gartner Breaks Down GenAI: Is It Overhyped or a Game-Changer? | Within IT, there are three key business functions for which GenAI is being adopted, according to Chandrasekaran. "The first and foremost is in software engineering, where GenAI models are helping developers write code faster and even complete code within their environments," he said. | Artificial Intelligence |
VentureBeat - Why attackers love to target misconfigured clouds and phones | “Novel exploits (zero-days) or even new uses of existing exploits are expensive to research and discover. Why burn an expensive zero-day when you don’t need to? Most bad actors can find a way in through the “front door”– that is, using legitimate credentials (in unauthorized ways).” | Security |
That said, doomerism doesn’t stand or fall based on its connections to a dubious pseudophilosophy. Undoubtedly, many AI risks are real and should be taken seriously regardless. The national security implications of AI in particular constitute perhaps the biggest area of concern. AI will enable new forms of cyber warfare targeting critical infrastructure. | Artificial Intelligence | |
Network Computing - Why Secure SD-WAN is a Pillar of Enterprise Cybersecurity | Modern enterprises often use various cloud providers for different infrastructure and application needs. This multi-cloud approach lets them select the best offering for different areas of their business, lock in the best prices, and improve user experience. Despite the benefits, this type of environment is complex to manage and challenging to secure. SD-WAN has emerged as the solution of choice for multi-cloud organizations because it provides an application-aware network infrastructure with uniform policies while simplifying management and reducing costs. | Network Security |
CIO Influence - Comcast Study Emphasizes Cybersecurity’s Significance in Remote Work Longevity | Nearly all surveyed companies (99%) foresee a heightened need for managed cybersecurity services. These services provide a security overlay to extend data protection, with disaster recovery and business continuity being the top-rated services (43%). Guidance from experts (40%) and managed detection and response (36%) are also high on the priority list as organizations seek comprehensive security solutions in their expanded remote work capacity. | Security |
SiliconANGLE - Is this the friendly face of AI in 2024? Meet LG’s new ‘AI agent’ | The AI agent is able to navigate a home independently, verbally interact with users and express emotions through movements made possible by its articulated leg joints. The robot uses multimodal AI technology, which combines voice and image recognition, along with natural language processing to enable it to understand context and intentions as well as actively communicate with users and interact with smart home appliances. | Artificial Intelligence |
VentureBeat - 11 data predictions for AI-centric enterprise growth in 2024 | SQL is a database language that lacks a standardized approach to procedural logic which, for most applications, is embedded within an application server connected to a SQL database using a stateful, persistent session. This design approach for SQL made sense 50 years ago, but it is a painful legacy for modern, connectionless cloud services | AI/Data Management |
SiliconANGLE - Here are the major security threats and trends for 2024 – and how to deal with them | Over the past year, there were many things written about gen AI, ranging from Chicken Little to miracle cancer cures. One noteworthy comment comes from Check Point Software Inc.’s blog: “Hackers will see cloud-based AI resources as a lucrative opportunity. They will focus their efforts on establishing GPU farms in the cloud to fund their own AI activities.” | Security |
VentureBeat - 16 Cybersecurity leaders predict how gen AI will improve cybersecurity in 2024 | “It could improve by the ability to pick up patterns (like attack patterns or an emerging CVE or just certain behaviors that indicate an attempted breach or even predicting that the L3 DDoS attack is a distraction for the credential stuffing they are missing). I also think that AI will make it more difficult, too. Detectors can’t tell the difference between a human-generated and AI-generated phishing attack, so they’ll get much better,” Silva said. | AI/Security |
DarkReading - Why CISOs Need to Make Cyber Insurers Their Partners | Organizations often are required to meet specific threshold conditions, such as utilizing multifactor authentication and endpoint detection and response capabilities, and must pass an “outside-in” scan of their environment, which is done by a neutral third party. | Security |
Computerworld - USB-C explained: How to get the most from it (and why it keeps on getting better) | In other words, the older rectangular USB Type-A plugs we are so used to are slowly going the way of the dinosaur. This evolution is happening faster in some arenas than others. For example, the latest Mac Pro desktop has no fewer than eight USB-C ports for anything from sending video to a display to charging a phone. | Automation & Productivity |
Dell, for instance, has roughly 380 AI-related ideas in the pipeline, he noted. But even as a large enterprise, the company probably only can handle just a handful of those. As he put it, enterprises might rush to do the first four projects on their lists — ultimately outpricing the fifth, which could have been the truly transformative one. | Tech Trends | |
With AI, in 2024, we will be able to process these documents in real time and also get good intelligence from this dataset without having to code custom models. Until now, a software engineer was needed to write code to parse these documents, then write more code to extract out the keywords or the values, and then put it into a database and query to generate actionable insights. The cost savings to enterprises will be huge because thanks to real-time AI, companies won’t have to employ a lot of staff to get competitive value out of data. | AI/Data & Analytics | |
SiliconANGLE - The rise of observability and why it matters to your business | Full-stack observability is the capability to discover the real-time status of each technology stack component in a distributed IT environment. It involves holistically viewing cloud-hosted applications, services, infrastructure, on-premises IT, K8s (there’s your O11Y hint) infrastructure and more. O11Y uses telemetry data such as metrics, logs, traces and other information from the entire IT environment to provide complete end-to-end visibility to understand the connection and dependencies among IT components. | IT Management |
Information Week - Future of Work with GenAI: Boosting Efficiency in Enterprises | A prime illustration is McKinsey’s customized generative AI tool, “Lilli.” This application helps employees quickly navigate extensive client datasets, providing relevant information and insights for new clients in minutes rather than hours. This significantly reduces the employee workload, allowing them to focus more on building relationships with their clients. | Automation & Productivity |
Network Computing - 10 SD-WAN Providers & Solutions to Consider in 2024: An Overview | A software-defined wide-area network (SD-WAN) is a virtual WAN architecture that's service provider-agnostic. This allows enterprises to leverage any assortment of transport services to securely link to desired applications. The list of transport services includes broadband Internet, Multiprotocol Label Switching, and Long-Term Evolution (wireless). | Network Management |
Information Week - 5 Things You Can Do Today to Prepare for 2024’s Security Threats | There are not many things in IT that are entirely predictable, yet it’s a sure bet that network attackers will continue their nefarious activities throughout 2024. Fortunately, by being proactive, it’s possible to fortify your organization against cyberattacks. Here are six key insights, collected via email interviews, of the actions you can take right now to gain an upper hand on cybercriminals. | Security |
One of the frauds resides in the OpenAI API for ChatGPT. The API needs a private API key that must be carefully protected and never exposed by users, yet some apps ask users to provide their API keys so the applications can use ChatGPT. As written by ESET researchers, “if the app sends your key to the developer’s server, there may be little to no guarantee that your key will not be leaked or misused, even if the call to the OpenAI API is also made.” | Security | |
Intel is one such company using its technology to support grid modernization efforts. As part of the Edge for Smart Secondary Substations (E4S) Alliance, the chipmaker is pioneering a software-defined approach to energy grids by building small-scale data centers inside electrical substations – the central inflection points for delivering electricity. | Sustainability | |
VentureBeat - IBM’s 2024 predictions show gen AI is the new DNA of cyberattacks | IBM predicts attackers will strengthen their arsenals with generative AI and take their attack tradecraft to a new, more lethal level in 2024. The new year signals the start of a new era of deception and identity abuse, IBM’s predictions warn, with attackers compromising networks with counterfeit and stolen privileged access credentials. | AI/Security |
SiliconANGLE - AI looks inward, antitrust bites big tech again and cybersecurity battles intensify | But generative artificial intelligence, while continuing to attract big bucks to the likes of Anthropic, OpenAI (yes, even more) and others, seems to be taking some downtime for self-examination, as companies increasingly find ways to keep the fast-growing technology’s most impulsive instincts in check. | Tech Trends |
The Verge - Google’s ChatGPT competitor Bard is nearly as good — just slower | ChatGPT Plus and Gemini Pro are both very advanced chatbots based on large language models. They’re the latest and greatest options from their respective companies, promised to be faster and better at responding to queries than their predecessors. Most importantly, both are trained on recent information, rather than only knowing what was on the internet until 2021. They’re also fairly simple to use as standalone products, in contrast to something like X’s new Grok bot, deployed as an extra on ex-Twitter. | ChatGPT |
VentureBeat - How LLMs made their way into the modern data stack in 2023 | The first (and probably the most important) shift with LLMs came when vendors started debuting conversational querying capabilities — i.e. getting answers from structured data (data fitting into rows and columns) by talking with it. This eliminated the hassle of writing complex SQL (structured query language) queries and gave teams, including non-technical users, an easy-to-use text-to-SQL experience, where they could put in natural language prompts and get insights from their data | AI/Data Management |
Most 2023 AI products inspired by ChatGPT have been textual. “But users prefer more expressive software that meets them in every modality, from voice to video to audio to code and more,” Garg says. “If we can get these architectures to work at scale, which would require a specialized set of retrieval augmentation startups to innovate in multi-modal, we could unlock a new category of software that provides much more accurate and human results.” | Artificial Intelligence | |
sdxCentral - Network management changes as observability spans multicloud | Security-related enhancements and cloud migrations lie behind much of the product activity in the area. Overall, the industry segment continues to address issues of cost, complexity and information volume that go hand in hand with log management’s wider use in the multicloud dominion. | Network Management |
The researchers noted there were limitations to the paper, including the limited range of demographics, the short paragraphs of information provided about each hypothetical situation as opposed to longer real-world sources of information such as resumes, and the premise that the AI should write the initial scenarios itself. | Artificial Intelligence | |
The Hacker News - Cost of a Data Breach Report 2023: Insights, Mitigators and Best Practices | According to Etay Maor, Senior Director of Security Strategy at Cato Networks, "We tend to talk a lot about security issues and solutions. This report puts a number behind threats and solutions and provides a lot of information to support claims of how a threat actor, a solution or a process impacts you financially." | Security |
Additionally, fileless attacks, where attackers use stolen credentials purchased on the Dark Web to gain access to systems without leaving behind traditional malware traces, are one of the biggest trends to look out for. And zero-day brokers — cybercrime groups selling zero-day exploits on the Dark Web to multiple buyers — are becoming increasingly prevalent. | Security | |
Network Computing - The Dawn of Universal Zero Trust Network Access | Universal ZTNA is a new concept. Given where the industry is going and the growing need to merge networking and security, with the emergence of the hybrid workforce, the idea will evolve and become a must-have technology soon. If you are on the frontline, a network leader, or an enterprise architect, now is the time to start researching and planning | Network Management |
“In 2024, we’ll also see the war for cyber and software development talent grow more contentious as a result of major privacy concerns and savings-driven budget reallocations born from the generative AI boom,” Hodjat says. | Tech Jobs | |
Computerworld - Q&A: How Athenahealth moved from traditional AI to genAI and ChatGPT | One newly deployed genAI capability can summarize the labels on patient healthcare documents intelligently so providers can more easily find the information most relevant at the point of care. Another feature will identify missing or incorrect information before a prior authorization for care is submitted to maximize the chance the authorization will be approved. | Automation & Productivity |
sdxCentral - How SASE tackles multicloud implementations, complexity | SASE is going to provide the “on-ramp into the different clouds a company might be using,” McGillicuddy said. As such, it can provide safe access to global points of presence (POPs), route traffic via SD-WANs, and apply services such as secure web gateways, cloud application security brokers, firewall services and some things that you may not see on today’s hype cycles. | Cloud Security |
CIO Influence - Understanding ISMS: A Comprehensive Overview | The crux of the ISMS framework centers on the meticulous evaluation and administration of risks. It operates as a structured methodology, delineating a balanced equilibrium between mitigating risks and the associated costs. Industries entrenched in rigorous regulatory landscapes like healthcare or finance often demand expansive security measures and robust strategies for mitigating risks. This necessitates a comprehensive scope of security activities within their ISMS framework. | Security |
Network World - Cisco 2024: AI adoption will drive network modernization, data-center evolution | "GenAI will also be leveraged in B2B interactions with users demanding more contextualized, personalized, and integrated solutions," Centoni stated. "GenAI will offer APIs, interfaces, and services to access, analyze, and visualize data and insights, becoming pervasive across areas such as project management, software quality and testing, compliance assessments, and recruitment efforts. As a result, observability for AI will grow." | AI/Network Management |
VentureBeat - The widening web of effective altruism in AI security | The AI Beat | We discussed why he considers securing the model weights for Claude, Anthropic’s LLM, to be his number one priority. The threat of opportunistic criminals, terrorist groups or highly-resourced nation-state operations accessing the weights of the most sophisticated and powerful LLMs is alarming, he explained, because “if an attacker got access to the entire file, that’s the entire neural network.” | AI/Security |
Government Executive - AI is a rising priority for federal chief data officers | “Advanced analytics, master data management, data integration, API strategies — all are going to help position those building blocks for really leveraging and driving ethical and explainable AI,” King said. | AI/Data Management |
The decision to use genAI has a lot of in common with the enterprise cloud decision. In either case, a company is turning over much of its intellectual crown jewels (its most sensitive data) to a third party. And in both instances, the third-party is trying to offer as little visibility and control as possible. | Artificial Intelligence | |
VentureBeat - Google Gemini is not even as good as GPT-3.5 Turbo, researchers find | Yes, you read that correctly: Google’s brand new LLM, the one that has been in development for months at least, performs worse at most tasks than OpenAI’s older, less cutting-edge, free model. After all, ChatGPT Plus and Enterprise paying subscribers can already access and use the underlying GPT-4 and GPT-4V (the multimodal offering) LLMs regularly, and have had access to the former for the better part of this year. | Artificial Intelligence |
Computerworld - What leading Apple-in-the-enterprise execs expect in '24 | "We first noticed the trend with mobile devices as frontline workers in industries like healthcare, aviation, and retail transitioned to iPhones and iPads as the primary computing device for some customer-facing roles. And on the Mac, we saw tremendous growth in the use of cloud identity services, indicating that the Mac is increasingly being used to access critical online services and data. | Automation & Productivity |
AiThority - Decoding Open-Web Programmatic Ads: Adtheorent & Advertiser Perceptions’ Latest Findings | Advertisers will continue to evolve how they identify their target audiences. A majority in each market expressed interest across various techniques to identify audiences, with the highest level of interest being the use of ML-based audiences that are not reliant on IDs or personally identifiable information (PII) (87% US; 93% Canada). | Marketing Tech |
SiliconANGLE - New report warns of a rise in AI-generated email fraud and phishing attacks | The report discusses several instances of AI-generated attacks detected by Abnormal, such as malware delivery attempts posing as insurance companies, Netflix impersonation for credential phishing, and invoice fraud by impersonating a cosmetics brand. The attacks use sophisticated language and lack the usual signs of phishing, such as grammatical errors, making them more convincing to potential victims. | Secuity |
By providing examples of spearphishing emails created using ChatGPT-3, GPT-3.5, and GPT-4.0, Hazell reveals the chilling fact that LLMs can personalize context and content in rapid iteration until they successfully trigger a response from victims. | AI/LLMs | |
sdxCentral - Why enterprises need cyber insurance — how and what to buy | “As can be expected, businesses with billions in revenue are far more likely to purchase cyber insurance coverage than small-to-midsize businesses or organizations with more minimal revenue or perceived lower risk,’’ Wisniewski says. “The most uninsured industries tend to fall under critical infrastructure, likely, because they face extreme cyberattacks, both in terms of quantity and impact and therefore struggle to get insurance providers to cover their organizations.” | Security |
Forbes - Navigating The Cybersecurity Landscape In 2024: Anticipating Challenges And Opportunities | Artificial intelligence (AI) and machine learning (ML) will play an increasingly prominent role in cyberattacks in 2024. Expect cybercriminals to leverage AI and ML to automate and enhance their capabilities, making attacks more sophisticated and adaptive. Cybersecurity professionals must harness the power of AI themselves to stay one step ahead of these evolving threats. | Security |
TechBullion - Blockchain and Cybersecurity: Strengthening Digital Defenses in the Connected Age | Blockchain, a decentralized and distributed ledger technology, presents a paradigm shift in the approach to digital security. Unlike traditional centralized systems, where a single point of failure can lead to catastrophic consequences, blockchain operates on a peer-to-peer network. Each participant in the network holds a copy of the entire ledger, creating a decentralized fortress that is inherently resistant to tampering and attacks. | Blockchain/Security |
Instead, it's cloud FinOps — a strategy that emphasizes cloud cost optimization. As of 2023, FinOps is exerting major influence on the way many organizations approach cloud computing. It has arguably become more important to cloud strategies than concepts like multicloud or hybrid cloud, key trends from years past. | Cloud | |
CIO Influence - Three Reasons an Organization’s CISO Should be Independent of its CIO | A key motivator for organizations to separate the CISO from the CIO is to provide that CISO with greater management responsibility and control over the cybersecurity program. This removes potential friction with the CIO over things such as budgetary constraints or security strategies. Further, an independent CISO ensures that cybersecurity remains an organization-wide priority, and security strategies align with broader business objectives – not just broader IT initiatives | Security |
The Verge - 2023 in social media: the case for the fediverse | In a fediverse world, rather than try to build another all-encompassing Facebook from scratch, an enterprising developer can pick one or a few of its features and try to do better. Users can pick their favorite app — or two, or two hundred — through which to get their posts. Because everything is based on one set of posts and an open network of friends and followers, new social products can be useful even if you’re the very first user. | Social Media |
VentureBeat - Many AI governance tools include faulty AI fixes, report finds | According to a new report from the World Privacy Forum, a review of 18 AI governance tools used by governments and multilateral organizations found that more than a third (38%) include “faulty fixes.” That is, the tools and techniques meant to evaluate and measure AI systems, particularly for fairness and explainability, were found to be problematic or ineffective. | Artificial Intelligence |
Companies report several benefits they are trying to achieve from generative AI initiatives. More than half (54%) report improved productivity as a top outcome expected from the technology; around two in five cite improved customer experience (42%), improved customer service (40%), and/or reduced human error (37%). That said, employee knowledge or training on generative AI tools remains a top barrier to implementation (32%), indicating that more education and training is required. | Artificial Intelligence | |
VentureBeat - How to protect unmanaged devices in today’s zero-trust world | When a contractor is onboarded, they often get access to shared productivity apps. As many organizations don’t have a process to delete a contractor’s access by cloud app or resource, credentials can live on for years – even decades – and lead to intrusion and breach attempts. | Security |
Information Week - How to Select the Right Industry Cloud for Your Business | “Strive to preserve flexibility and the ability to innovate,” he advises. The market is rapidly evolving, and monolithic implementations are giving way to user-friendly building blocks that are continuously improved. “These are proving to provide the greatest advantage,” Campbell observes. | Cloud |
AiThority - Sonata AI & Cloud Rule 2024 IT Investments: Rackspace Survey | The survey also underscores the continued adoption of the cloud. When asked about the makeup of their organization’s IT infrastructure and how it will evolve over the next 12 months, edge computing, private cloud, and public cloud increased as a percentage of workloads, while data centers, colocation facilities, and mainframes declined. | AI/Cloud |
A key finding from the survey’s many results: a remarkable 77 percent of the respondents acknowledge the importance of responsible AI, with younger leaders—aged 18 to 44—showing a higher familiarity with the concept of responsible AI compared to their older counterparts. | Artificial Intelligence | |
Information Week - Clock Starts on SEC Cyberattack Rules: What CISOs Should Know | “Cybercriminals have shown that if they are willing to control the timeline, they are able to prompt people into action,” Pierson says. “If you tell people that we will expose your data within seven days unless you pay us -- that creates a time clock and a scenario where the power goes to the cybercriminal.” | Security |
The Hacker News - Unmasking the Dark Side of Low-Code/No-Code Applications | While low-code/no-code (LCNC) apps and robotic process automations (RPA) drive efficiency and agility, their dark security side demands scrutiny. LCNC application security emerges as a relatively new frontier, and even seasoned security practitioners and security teams grapple with the dynamic nature and sheer volume of citizen-developed applications. | Security |
sdxCentral - Trellix CEO outlines how to educate employees on genAI risks | “I think the best way to do it is to have a policy and a regulated standard and then have some standardization,” Palma said. For instance, companies should procure enterprise licenses for approved genAI tools and allow IT teams to assess and ensure their security. This strategy is preferable than blocking these tools, as employees might seek unapproved alternatives, he added. | Artificial Intelligence |
Computerworld - Q&A: Sedgwick exec lays out 'the baby steps to genAI adoption' | In April, Sedgwick unveiled a generative artificial intelligence (genAI) tool called Sidekick to help with document summarization, data classification, and analysis. Sidekick uses OpenAI's GPT-4, giving the company "an unlimited number of large language models to be created for varying purposes." | Automation & Productivity |
“In our experience, companies that invest time and energy to understand their networks and collaborative relationships greatly improve their chances of making successful organizational changes,” said McKinsey. “Sophisticated approaches can map networks and identify the key points of connectivity where value is created or destroyed.” | Network Management | |
TechBullion - Big Data Analytics 101: Understanding the Basics and Benefits | It is the process of examining and uncovering patterns, trends, and insights from large and diverse datasets. Unlike traditional data analysis methods, Big Data Analytics deals with datasets that are too complex or massive to be processed by conventional data processing applications. This field leverages advanced analytics techniques, including machine learning, statistical analysis, and predictive modeling, to extract valuable information from vast pools of data. | Data & Analytics |
Information Week - Data Leaders Say ‘AI Paralysis’ Stifling Adoption: Study | “I do think there’s a disconnect between the CIO and CDO and the chief executive. We should not, in the data and technology space, expect people to understand the layer of complexity that we have to deal with. What we should be doing is taking that complexity and creating a story and a narrative, so it makes sense to the other people in our organization and businesses we work with.” | AI/Data Management |
TechBullion - From Raw Data to Actionable Insights: Exploring the Process of Big Data Analytics | Exploratory Data Analysis is the process of visually and statistically exploring data sets to uncover patterns, trends, and relationships. Data visualization tools play a crucial role in this phase, allowing analysts to identify outliers, understand data distributions, and gain initial insights. EDA sets the stage for more in-depth analysis and hypothesis testing. | Data Management |
CIO Influence - AI for Network Management Strategies in 2024 | Customer patience is wearing thin and businesses are doing all they can to keep up with demands, most notably implementing AI more prominently in their workflows. In the networking space, AIOps, which is the use of AI to automate and streamline IT operations tasks, will be the biggest use case for AI in 2024. | AI/Network Management |
However, prompt engineering goes beyond just creating prompts. It encompasses a diverse set of skills and techniques useful for interacting with and developing LLMs. It’s a critical skill for interfacing, building with, and comprehending the capabilities of LLMs. Prompt engineering can contribute to improving the safety of LLMs and introducing new capabilities, such as augmenting LLMs with domain knowledge and external tools. | AI/LLMs | |
sdxCentral - What is AI networking? Use cases, benefits and challenges | AI networking seeks to transform traditional IT operations and make networks more intelligent, self-adaptive, efficient and reliable. The technology uses machine learning (ML), deep learning, natural language processing (NLP), generative AI (genAI) and other methods to monitor, troubleshoot and secure networks. | AI/Network Management |
VentureBeat - Why Anthropic and OpenAI are obsessed with securing LLM model weights | A new research report from nonprofit policy think tank Rand Corporation says that while weights are not the only component of an LLM that needs to be protected, model weights are particularly critical because they “uniquely represent the result of many different costly and challenging prerequisites for training advanced models—including significant compute, collected and processed training data, algorithmic optimizations, and more.” Acquiring the weights, the paper posited, could allow a malicious actor to make use of the full model at a tiny fraction of the cost of training it. | AI/LLM |
sdxCentral - Deloitte on Tech: Top cloud computing trends to expect in 2024 | Much needs to be done to support this rise, though, including sizing systems for genAI. This means typically supporting training data with more database storage and keeping the storage of both structured and unstructured data. In many instances, enterprises will look to combine that data before it becomes training data, and that will likely work in the public clouds, given the ease of provisioning and scaling of cloud-based platforms. | Cloud |
It’s the worst nightmare for those of us advocating backups as a ransomware recovery tool. If the last line of defense is taken out of the game, it defeats the whole reason we built the system in the first place. If hackers are able to delete or encrypt backups, or the backup server operating system itself, you will find yourself in an unenviable position. | Security | |
Biilmann noted that developers are wary of a wide breadth of risks when it comes to AI implementation. Seventy percent are concerned about erroneous outcomes, and over half believe that leveraging AI can lead to new security issues and confidential data leaks. Fortunately, developers are already discovering best practices to help mitigate these risks, he noted. | DevOps | |
sdxCentral - Deloitte predicts 2024 will be a breakthrough year for post-quantum cryptography | The three draft PQC standards NIST released earlier this year include the Module-Lattice-based Key-Encapsulation Mechanism Standard, Module-Lattice-based Digital Signature Standard and Stateless Hash-Based Digital Signature Standard. A fourth standard derived from Falcon is expected to be released soon and the institute expects to finalize its PQC standards by 2024. | Cryptography |
Participation in open AI projects can be found among the cloud giants as well. Project Jupyter, an open-source initiative that builds tools for machine learning frameworks, has been actively supported by Amazon Web Services Inc., which is a key contributor to the project. In May, AWS announced two generative AI extensions for Jupyter to democratize AI and scale up machine learning workloads. | Artificial Intelligence | |
Blocks & Files - 2024 IT management trends: It’s generative AI and everything else | In 2024, GenAI will accelerate workload placement trends, with organizations reckoning with how and where to run large language models (LLMs) that fuel their GenAI applications. Some IT decision makers will choose public services. | IT Management |
An ever-growing number of generative AI chatbots are now entering the market, but not all chatbots are created equal. We analyzed the best generative AI chatbots to help you determine the best conversational AI app for your business. | AI/Chat | |
Network Computing - NaaS and Edge Cloud: Agility and Efficiency for the Modern Enterprise | NaaS provides on-demand access to essential network resources like bandwidth, security, and storage in a subscription-based model. Rather than building and maintaining their own network infrastructure, enterprises can rapidly deploy and scale network capacity to align with fluctuating business workloads. This shifts the burden of building, maintaining, and managing infrastructure to the service provider, freeing up IT resources within the business to focus on driving strategic initiatives tailored to core competencies. | Network Management |
Information Week - Could Your Organization Benefit from Hyperautomation? | There’s no set rule for deciding whether or not to deploy hyperautomation. “Wherever there are vast amounts of repetitive and mundane work, inefficient data usage, and ineffective processes, hyperautomation has its place,” Tyne observes. Typically, however, hyperautomation is associated with large enterprises, he adds. | Automation & Productivity |
VentureBeat - Linux Foundation advances open source vision with Generative AI Commons | The Generative AI Commons is organized into four primary work streams: model and data, frameworks, applications, and education. One of the initial deliverables that the group is now working on is the model openness framework, which evaluates generative AI projects against the criteria of open science and open source. | Artificial Intelligence |
As a result, IT teams deployed other resources in an attempt to snag the necessary IT infrastructure as quickly and as affordable as possible, leaving little room for proper heat and energy management infrastructure deployment. “Due to the effort required here, many end users are only able to address the power and thermal management infrastructure requirements after or close to receiving those initial GPU shipments, | Data Management | |
CSO - AI dominates cybersecurity megatrends for 2024: Report | The top deck (first four) of the list included AI-related trends that SIA expects will make a substantial impact in the segment in the coming year. Topping the list was AI security, which refers to the cybersecurity practices for the protection of data, IP, and corporate integrity with the adoption of AI into businesses of all sizes. | AI/Security |
Forbes - Artificial Intelligence, Quantum Computing, and Space are 3 Tech areas to Watch in 2024 | Prioritizing and acting on data, artificial intelligence, and machine learning can help make decisions more efficiently. This is especially true in larger networks with numerous users and variables. AI-enabled computers are primarily intended for tasks like speech recognition, learning planning, and problem-solving. | Tech Trends |
VentureBeat - The EU AI Act passed, but Mistral parties on | The AI Beat | The EU AI Act was also quickly pushed from the headlines by one of Europe’s own AI stars. Paris-based open source model startup Mistral, in the equivalent of a mic drop, released a new LLM on Friday with nothing but a torrent link. Then, yesterday the company, which was founded just seven months ago by Meta and Google researchers, kept the party going by announcing a $415 million fund-raise from investors including Andreessen Horowitz, Lightspeed Venture Partners, Nvidia and Salesforce — valuing the small 22-person team at about $2 billion. | AI |
A 2022 survey by finance software firm Datarails, which is headquartered in New York, found that most CFOs (81%) believed they were suffering a more intensive day-to-day workload compared with all of their C-suite colleagues. | Security | |
VentureBeat - Anthropic leads charge against AI bias and discrimination with new research | But the study goes one step further: The paper not only exposes biases, but also proposes a comprehensive strategy for creating AI applications that are more fair and just with the use of a new discrimination evaluation method. | Artificial Intelligence |
The latest Sikich Industry Pulse found that one-fifth of manufacturing executives have no plans to incorporate AI into their operations, and more than 60% of executives are unsure if AI will add any benefit to their companies or have researched AI but have not found an appropriate use case. Less than 20% of manufacturers have begun to implement AI technologies. | Artificial Intelligence | |
Network Computing - Building Resilience in Uncertain Times: The Power Of Connected Networks | Connected networks are sophisticated peer-to-peer networks linking an organization with its stakeholders—suppliers, partners, customers, and competitors—across processes, systems, and geographies. They allow every stakeholder to see exactly how different parts of the ecosystem interact and impact the customer experience and business outcomes. This single-pane view creates opportunities for better decision-making for more economic leverage. | IT Management |
Software as a Service – Applications (SaaS – Applications) continued to be the largest source of public cloud services revenue, accounting for nearly 45% of the total in 1H23. Infrastructure as a Service (IaaS) was the second largest revenue category with 20.4% of the total while Platform as a Service (PaaS) and Software as a Service – System Infrastructure Software (SaaS – SIS) delivered 18.0% and 16.9% of overall revenue respectively. | Cloud | |
Computerworld - Making sense of genAI pricing in office apps | While it’s standard for software vendors to price similar services at different levels as they vie for market share and profitability, the relative novelty of generative AI brings some specific challenges. On one hand there’s the compute cost to process user queries and how quickly this cost might fall. Then there’s the question of what benefits these tools will actually provide to customers and, ultimately, how much organizations are willing to pay. | Automation & Productivity |
Datanami - Privacera Unveils AI and Data Security Governance Predictions for 2024 | “In 2024, we expect a large influx of innovations by enterprises of every scale adopting and deploying generative AI, and using sensitive data to train the underlying AI and Large Language models,” says Balaji Ganesan, co-founder and CEO, Privacera. “This transformation can only be successful with a unified data security governance strategy in place, and requires data leaders to apply controls to both, sensitive data and AI, in a consistent and scalable manner.” | AI/Security |
VentureBeat - How ConductorOne’s Copilot Improves Identity Governance with AI | Managing user and machine identities in multi-cloud environments is among their teams’ most challenging tasks. The most challenging areas of managing identities in a multi-cloud environment include getting permissions right while eliminating orphan accounts, monitoring access privileges and reducing the risk of stolen privilege access credentials. | AI/Security |
data.world’s benchmark report reveals 3x uptick in LLM response accuracy over SQL databases, when those answers were backed by a Knowledge Graph. Complex business questions around metrics, KPIs, and strategic planning have a much higher chance of accurate answers via the Knowledge Graph | AI/Data | |
Kent predicts that AI-powered cobots will foster a deeper collaboration and partnership between humans and devices, improving both efficiency and peace of mind. “Cobots can be used to help humans in a variety of ways, from taking over repetitive and manual tasks and adding layers of safety to improving data analysis and demand forecasting,” he explains | Automation & Productivity | |
It's not hard to understand why the typical organization today is attracted to cloud architectures that are more complex than necessary. Continuous improvement and endless optimization have become key mantras of the IT industry. If you were to suggest that a simple cloud architecture meets your organization's requirements and that there's no need to invest in more complex cloud setups or services, you'd probably sound unimaginative at best, or lazy and out of touch at worst. | Cloud | |
CIO Influence - Major Market Trends and Disruptions CIOs Must Be Ready for in 2024 | With the launch of ChatGPT at the end of 2022, 2023 ushered in peak hype around AI. Vendors rapidly reacted to the stunning user adoption rates of ChatGPT by introducing their own versions of “generative AI” into their software, whether it involved real machine learning, LLMs, NLP, etc. – or if it was all smoke, mirrors, and buzzwords. There are some legitimate and very exciting uses of generative AI, but some marketers would lead you to believe its powers are far more ubiquitous than it really is – at least for the moment. | Tech Trends |
In many ways the technology story of 2023 was all about artificial intelligence. In fact, in this list of hot technology trends, almost all relate in some way to AI. That begs the question of whether we’ll eventually stop calling out AI as a separate thing or if all technology will just incorporate AI in some way. | Tech Trends | |
Blocks & Files - AI needs a data platform, and VAST wants to be it | “We think a data platform that provides neural networks with broad access to such natural data at tremendous speed and scale will deliver much more sophisticated AI than what we’ve seen to date. And as datasets grow larger, as algorithms get smarter, and as processors get stronger, self-discovering computers – thinking machines – will no longer be science fiction.” | AI/Data |
Companies that adopt these powerful AI models can leverage them to cut costs. Allen points out that many companies will likely use AI to shift away from outsourcing. “A lot of firms outsource mostly routine clerical work to places like India, and I believe that's going to be threatened or impacted significantly by AI that will be able to do that work faster and cheaper,” he says. | Automation & Productivity | |
Choosing between Cognitive AI and Generative AI hinges on the specific needs of the application. If replicating human-like cognitive processes and decision-making is the goal, Cognitive AI is preferable. Conversely, if generating creative content is the aim, Generative AI is the choice. Often, a combination of both approaches yields more comprehensive solutions. | Artificial Intelligence | |
Blocks & Files - GigaOm ranks NetApp as leader in scaleout file storage | “The scaleout file storage market is very active. Roadmaps show a general trend toward expanding hybrid-cloud use cases, implementing AI-based analytics, rolling out more data management capabilities, and strengthening ransomware protection.” | Data Storage |
SiliconANGLE - Data breaches at an all-time high, according to a new report from MIT | Madnick found that more than 2.6 billion personal records have been obtained from breaches in 2021 and 2022, most of them from cloud-based data. Many of these attacks have targeted sensitive data such as the October breach of genetic information from 23andMe or student data from the Minneapolis public school system in March. Madnick’s report catalogs numerous others. | Security |
CIO Influence - Role of LLMs and Advanced AI in Cybersecurity: Predictions from HP Inc. Executives | AI-powered security solutions for risk analysis, predictive intelligence, and identity and access management assist cybersecurity teams with unmatched ability to safeguard their digital infrastructure. However, there’s no guarantee that AI alone can protect everything your organization owns or stores. CIOs still lack 100% visibility into what their cybersecurity postures look like and what kind of preparedness is required to thwart a sophisticated cyber attack led by ransomware and zero-day attack vectors. | Security |
VentureBeat - Protecting against new Kubernetes threats in 2024 and beyond | A wave of new attacks targeted Kubernetes in 2023: Dero and Monero crypto miners, Scarleteel and RBAC-Buster. Finding an initial foothold with a web app vulnerability, then moving laterally is the hallmark of a Kubernetes attack. Understanding the reality of these attacks can help protect your organization from current and future attacks targeting Kubernetes. | Security |
Forbes - 6 Predictions About Cybersecurity Challenges In 2024 | “From the creation of convincing deepfakes to an increase of targeted misinformation, the concept of trust, identity and democracy itself will be under the microscope. This will put [an] even greater onus on individuals to scrutinize and make informed decisions and on media platforms to root out false content,” he predicted. | Security |
CSO - Almost 50% of organizations plan to reduce cybersecurity headcounts: Survey | The report revealed that smaller organizations are struggling on multiple levels to incorporate security observability as part of their security systems. They lack the resources to hire the right people to use the security tools. However, this also makes them prudent about spending, thus ensuring they avoid hype-driven adoption of the products. On the other hand, large organizations have access to a wide range of tools and products, but they struggle to integrate them for optimal performance. | Security |
SiliconANGLE - North Korean hackers Lazarus Group takes new Telegram tactics | This latest effort, what Talos calls Operation Blacksmith, makes use of the Log4Shell vulnerabilities in VMWare Horizon servers for initially accessing victims’ computers. These exploits began two years ago. Veracode last week posted an analysis showing that more than a third of the servers are running applications that are still vulnerable, which is why Lazarus and others continue to take advantage of them. | Security |
Datanami - Fortanix Highlights Encryption’s Growing Role in Data Security | Among the findings: lack of encryption is the primary contributor to sensitive data loss, even though confidence in cryptographic capabilities is strong. At the same time, encryption is pervasive and on the rise for data at rest, in motion, and in use. | Data Management |
VentureBeat - Stanford and Meta inch towards AI that acts human with new ‘CHOIS’ interaction model | The new system, dubbed CHOIS (Controllable Human-Object Interaction Synthesis), uses the latest conditional diffusion model techniques to produce seamless and precise interactions like “lift the table above your head, walk, and put the table down.” | Artificial Intelligence |
TechBullion - AI in Cybersecurity: Strengthening Defenses in the Digital Age | While challenges exist, the ongoing evolution of AI technologies and their application in cybersecurity promise a resilient future where organizations can navigate the digital landscape with confidence. As we embrace the capabilities of AI in strengthening our defenses, the collaboration between human expertise and artificial intelligence becomes paramount in safeguarding our digital future. | AI/Security |
SiliconANGLE - Beyond separating compute and storage: Journey to the sixth data platform | It’s important to point out that this is the Database/Data Warehouse sector in the ETR taxonomy, so there are products represented that we don’t consider to be part of the modern data platform conversation – for example, Microsoft SQL Server. That is a limitation of the taxonomy you should be aware. Nonetheless, it allows us to look at relative momentum. Also, we’re not focusing in this research post on operational platforms such as MongoDB. | Data Management |
ML analyzes data and teaches systems autonomously. Over time, ML algorithms improve with more data. Supervised and unsupervised ML are the main methods. UML algorithms find hidden patterns in data, while SML algorithms predict outcomes using labeled data. | AI/ML | |
DarkReading - Municipalities Face a Constant Battle as Ransomware Snowballs | Sophos reported that more than a quarter of state and local government organizations (28%) in its survey admitted to making a payment of at least $1 million or more when it came to ransoms, a massive increase compared with the 5% that made that large of a payment in the 2022 data. Of the organizations whose data was encrypted in an attack, 99% got their information back, with 34% reporting that they paid a ransom and 75% relying on backups. | Security |
Computerworld - How Apple TV just became a Zoom meeting solution for SMEs | Deploying a conference room for hybrid meetings can be costly if you’re a small to midsize enterprise (SME), but the price potentially plummets as online meeting provider Zoom joins Webex in launching a new Apple TV meeting app. The new app uses Apple’s Continuity Camera feature, introduced earlier this year, which lets you use the camera on your iPhone or iPad as a camera for a connected Apple device. | Automation & Productivity |
Datanami - EY Report Highlights: Generational Divide in AI Adoption and Perception in the Workforce | A lack of guidance from leaders on responsible usage is also fueling new anxieties. In fact, about two-thirds (65%) of employees are anxious about not knowing how to use AI ethically, and a majority are concerned about the legal risks (77%) and cybersecurity risks (75%). | Artificial Intelligence |
CIO Dive - There will be a surplus of tech workers by 2026, executives project | As technology skills expand throughout the enterprise, nearly three-quarters of IT leaders say it’s more important for employees to have multiple skills than specialization. Creativity, emotion and critical thinking are the top contributions of the human workforce in a talent market shaped by AI. | Tech Jobs |
VentureBeat - Why the promise behind generative AI comes down to security | Users are also out there blithely entering sensitive data into generative AI models in the wild. Generative AI likes to hang on to the data it receives, and any data that a system collects is used to train models. How does an organization protect sensitive information, or prevent the organization from violating privacy regulations in those cases? | AI/Security |
In many ways the technology story of 2023 was all about artificial intelligence. In fact, in this list of hot technology trends, almost all relate in some way to AI. That begs the question of whether we’ll eventually stop calling out AI as a separate thing or if all technology will just incorporate AI in some way. | Tech Trends | |
Network World - Gartner: Just 12% of IT infrastructure pros outpace CIO expectations | Another key action incorporates enhanced analysis capabilities to measure the effectiveness of their programs and investments. While in uncertain economic times, I&O leaders must maximize the impact of technology. "According to the survey, 89% of leaders in highly effective I&O organizations formulate strategies for process transformation and optimization, and 82% identify opportunities to reduce technology costs through economies of scale or cross-enterprise synergies," Gartner says. | IT Management |
Datanami - 10% of Organizations Surveyed Launched GenAI Solutions to Production in 2023 | The survey highlights other challenges that might be causing a slow adoption of LLM technology in businesses, such as lack of knowledge, cost and compliance. Of the respondents, 84% admit that their skills need to improve due to increasing interest in LLM adoption, while only 19% say they have a strong understanding of the mechanisms of how LLMs generate responses. | AI/LLM |
CIO Dive - Talent woes among top barriers to generative AI ambitions | Among the most in-demand positions for companies currently using the technology are AI programming and data analysis. AI talent leaving major tech providers isn’t enough to meet demand across industries, according to the firm. | Artificial Intelligence |
VentureBeat - How should AI be governed? Open source syllabus offers framework | Drawing on lessons from parallel technologies and calls for broader representation, Frazier’s vision through “living documents” like this syllabus is to “arrive at principles-based solutions.” By welcoming global participation, initiatives stand to best guide responsible progress as technologies reshape society. | Artificial Intelligence |
CIO Influence - Building a Strong Data and Analytics (D&A) Strategy with a Culture Mindset | According to a McKinsey survey, 14% of C-level leaders spend 70 percent of their time making decisions. In most cases, these decisions are based on inefficient models. This inflates the cost of decision-making. Reliable data search and discovery tools improve the accuracy of the decision-making, with added layers of compliance and privacy guarded by a strong data governance framework. | Data & Analytics |
AI can also thrive in conducting management and maintenance operations. Self-healing networks are envisioned to be the next step in intelligent networking, enabling the network to completely repair (and potentially even reconstruct) itself or reroute in a matter of minutes, should a failure occur. | Network Management | |
Those technologies include generative AI; spatial computing and the industrial metaverse; moving beyond brute force compute to specialized compute; the evolution to DevEx; securing against innovative attack methods; and evolving from technical debt to technical wellness. | Tech Trends | |
Information Week - Massive Okta Breach: What CISOs Should Know | Okta recommends customers take several immediate steps to defend against potential attacks from the breach, including securing administrator access through multi-factor authentication (MFA), “admin session binding” that requires admins to reauthenticate in certain instances, “admin session timeout” set to a default of 12-hour session duration and 15-minute idle time, and phishing awareness. | Security |
Network Computing - Overspending on SaaS? 6 Ways to Cost Optimization | Before starting with cost optimization, you must first analyze where you’re overspending. Start with a thorough spend analysis using a spend management platform. Identify all your SaaS applications, licenses, associated costs, and the ROI they generate. | IT Management |
VentureBeat - Google pins its hopes on Gemini AI to redeem troubled assistant Bard | The upgrades will be rolled out in two stages: First, Google has tuned a version of Gemini Pro specifically for enhancing Bard’s conversational skills. This should improve Bard’s ability to understand questions and provide relevant, nuanced answers. That update is available starting today. Then, early next year, Bard will receive access to Gemini Ultra, Google’s largest and most advanced AI yet. | Artificial Intelligence |
Computerworld - Here's why half of developers will soon use AI-augmented software | AI-based code generation products based on large language models (LLMs) such as GitHub Copilot, Replit GhostWriter and Amazon CodeWhisperer, can generate complex suggestions resulting in a significant increase in developer productivity. But, those tools in no way eliminate the need for human software developers and engineers as genAI can still produce errors and is incapable of creating unique code. | Artificial Intelligence |
ZDNet - What is Gemini? Everything you should know about Google's new AI model | Google's new Gemini model appears to be one of the largest, most advanced AI models to date, though the release of the Ultra model will be the one to determine that for certain. Compared to other popular models that power AI chatbots right now, Gemini stands out due to its native multimodal characteristic, whereas other models, like GPT-4, rely on plugins and integrations to be truly multimodal. | Artificial Intelligence |
CIO Influence - Cloud Optimization Strategies for Navigating Cloud Evolution in 2024 | In this evolving landscape, the need for enhanced support from the ecosystem has become increasingly evident. Cloud providers rely heavily on various partners, including SIs, Independent Software Vendors (ISVs), and Resellers. These partners bring a crucial capability to the table: the ability to implement and integrate cloud solutions with existing environments, addressing use cases that enterprises struggle to tackle independently. | Cloud |
TechRepublic - Top 6 Enterprise Data Storage Solutions for 2023 | An additional factor to consider when deciding upon a data storage solution would be whether the software has data analytics and reporting features, allowing your business to derive valuable insights from stored data and data usage. Finally, seeking a product that can integrate with your existing storage system is always helpful, as this can ease the process of transferring your current organizational data onto the new system | Data Storage |
AI is going to have a dramatic impact on networking technology. It is ultimately changing everything. Your success with AI will depend on whether your infrastructure is able to support such powerful applications and the demands it makes. And while the cloud is emerging as a major resource, many enterprises have to also rely on the on-premise environments to accommodate for things like big data storage. Do I have enough? Can it scale with my models and AI-generated data from a networking infrastructure point of view | Network Management | |
CIO Influence - Featured Story of the Week: 2024 Enterprise Storage Trends for CIOs | Combining resilience (the ability to instill defensive security measures to repel attacks), detection (the ability to know when data is corrupted and whether a known good copy of data is free of ransomware or malware), and recovery (the ability to bounce back) from cyberattacks is the key to hardening storage infrastructure. | |
SiliconANGLE - Analysis: Cisco brings AI capabilities to its revamped security portfolio | My research shows that enterprise-class companies have, on average, 32 security vendors. This is the average, and I’ve seen some companies with many more than this. I did some work with one of the government agencies, which had more than 200 vendors. One of the engineers there confessed there is so much paranoia around security that they deploy almost every point product from every startup to be more secure. The problem is, with security, more isn’t better, as keeping policies up to date is impossible across dozens of vendors | Security |
Information Week - Security Questions to Ask After the ZeroedIn Breach | He says organizations should ask to what extent they must work with third-party suppliers and understand the security risk that they take on by using those services, whether it is software, data, or services. “It’s not enough that third party says, ‘Oh yeah, I am certified,’” Maor says. “Certification does not equal security.” | Security |
However, one of the most important current technologies, the large language models (LLMs) behind AI chatbots such as ChatGPT, has struggled so far to emulate mathematical reasoning. This is because they have been designed to concentrate on language. | Artificial Intelligence | |
Forbes - Turning Cyber Offense Into Defense For Successful Cybersecurity Investing | It’s not because cyber is no longer investible. The market is starting to normalize. The “venture” (VTs) that had been juicing noncritical, undifferentiated companies that overcrowded the market in 2020-21 have left to chase the next trend. Chasing momentum with the herd is a different ballgame than investing in solving tomorrow’s cybersecurity challenges. That’s where investment opportunities remain interesting. | Security |
VentureBeat - Hugging Face dodged a cyber-bullet with Lasso Security’s help | Further validating how brittle the security of generative AI models and their platforms are, Lasso Security helped Hugging Face dodge a potentially devastating attack by discovering that 1,681 API tokens were at risk of being compromised. The tokens were discovered by Lasso researchers who recently scanned GitHub and Hugging Face repositories and performed in-depth research across each. | AI/Security |
Older servers are less energy efficient than new ones, says Jay Dietrich, Uptime Institute’s research director of sustainability. For example, Intel servers’ efficiency improved by 34% between 2017 and 2019 for CPUs running at 50% utilization, according to a recent report he co-authored. And AMD-based servers saw a whopping 140% improvement, he says. | IT Management | |
There is speculation that the board did not know about Q*, and that this might have been the primary reason for firing Altman. This possibility seems unlikely, however, since Ilya Sutskever was both the Chief AI scientist and a board member. Backing that up is a report from Platformer that states: “I can report that the board never received any such letter about Q*.” | Artificial Intelligence | |
That’s a meager answer to the issue of multicloud complexity compared to the messages from cloud providers like Oracle, VMware or IBM. However, perhaps that’s because those vendors have no choice but to fit themselves in among the dominant providers — making it as easy as possible to adopt their services in addition. It’s the only way they have a fighting chance. | Cloud | |
What stands out in MongoDB’s new offering is its name, Atlas Vector Search. You’ll notice that it’s not called a vector database, which is a smart move because vector storage is the means to build and deploy generative AI apps and not a destination itself. So, while MongoDB stays true to its roots as a developer platform by providing both of these capabilities, it chose to name its offering after the end goal: Vector Search. | AI/Data | |
CPO Magazine - Pretexting: A Growing Threat That Avoids Phishing’s Obvious Tells | That outcome is usually money (the median loss is now $50,000 according to the DBIR), but attackers may also be after sensitive information or the login credentials that will allow them to infiltrate a company’s internal systems, where they can steal data, eavesdrop on email conversations, and launch ransomware attacks. | Security |
CIO Influence - Future of Data Integration: How AI is Changing the Blueprint for Businesses | By unearthing these hidden connections, organizations gain a competitive edge, fuelling innovation and driving transformative change. As generative integration continues to evolve, it’s clear that it’s not just about simplifying the integration process – it’s about paving the way for a future where data-driven decisions are made with unparalleled clarity and confidence. | Artificial Intelligence |
Forbes - How Can Businesses Make Sure That Their Cybersecurity Operations Are Robust? | Primarily, my focus will be on addressing questions such as "What are the essential components of your cybersecurity checklist?" and "How can you identify potential vulnerabilities within your systems?" Consider this a go-to, threat-proof checklist that guards your business against potential risks with proactive security measures at any time. | Security |
Computerworld - The arrival of genAI could cover critical skills gaps, reshape IT job market | More than a quarter of those surveyed, however, called genAI a fad, comparing it to Meta’s recently launched Threads app — an upstart competitor to X/Twitter. “These leaders stated that they believe Gen AI to be just another fad [that] challenges for dominance quickly and then dies off just as fast,” the Kaspersky study said. | Automation & Productivity |
SiliconANGLE - Three strategies to develop edge skills in your organization | A common pitfall I&O leaders run into is to assume that the entire organization needs the same level of skill sets and expertise for edge implementation and operations. Edge implementations require diverse and specific skills, which makes it harder for an organization to be at the same expertise level. As a result, even if they have clarity around the skills needed for implementing these technologies in their organization, I&O leaders are unable to ensure the skills are in place before starting an edge initiative | Edge Computing |
A recent IDC survey found that, in the next 12 months, roughly a third of respondents believe that organizations will prefer to buy AI software from a vendor or use in-house support alongside vendor-supplied AI software for specific use cases or application areas. This indicates a growing demand for AI solutions and highlights the need for customized approaches based on individual business requirements. | Artificial Intelligence | |
VentureBeat - Breaches happen: It’s time to stop playing the blame game and start learning together | Unfortunately, the overwhelming reaction to such an incident is to ostracize the victim. In fact, up to 83% of consumers admit that they pause or end their spending with an organization after an incident. While understandable, that reaction misses the opportunity the industry has to learn and grow together after details of an incident become available. | Security |
Forbes - 19 Tech Experts Bust Common Cybersecurity Myths And Misconceptions | The myth is that cybersecurity training is going to help everyone get smarter about security. The truth is that security training videos with a quiz at the end do not mitigate risk; they just add to people’s never-ending to-do lists. What we really need are tools that connect cybersecurity risk to specific activities as a way to help people practice better security hygiene. | Security |
Data Science Central - A Different AI Scenario: AI and Justice in a Brave New World – Part 1 | The Challenge. In this AI scenario, elected officials would still make society’s laws and regulations. Unfortunately, these laws and regulations are not enforced fairly, consistently, or unbiasedly in today’s legal and judicial systems. Some people and organizations use their money and influence to bend the laws and regulations in their favor, while others face discrimination and injustice because of their identity, background, or position in society. This creates a system of inequality and distrust that leads to social disenfranchisement and political extremism. We need to ensure that the laws and regulations are enforced with fairness, equity, consistency, and transparency for everyone. | AI/Secrity |
Government Technology - Cybersecurity Trends Point to More Sophisticated Attacks Ahead | Ultimately, turning the tide against ransomware means getting attackers to see the crime as more trouble than it’s worth. Recent years saw some states consider whether banning cyber extortion payments could help get us there. Federal officials said this year they’d been mulling whether to enact a widespread payments ban, though some cyber experts say such a move could involve painful short-term side effects and administrative challenges. | Security |
The technicians are essential introductions to the day-to-day development landscape of cyberspace and technical engineers and technicians in cybersure security roles are often the gateways to mssps of mssps. who gets the benefit of the processes and techniques Potential threats are identified before they escalate, reducing the impact of cyber incidents This proactive approach to cyber security is industry practices meet, and provides companies with a strong defense against emerging threats. | Security | |
VentureBeat - 2 clear and consistent paths toward effective, accelerated AI regulation | Finally, it is important to remind ourselves that AI outputs can be biased, replicating the stereotypes we have in society and coding them into systems that make decisions and predictions, allocate resources and define what we will see and watch. Appropriate governance means establishing rigorous processes to minimize the risks of bias. | Artificial Intelligence |
Information Week - New Secure AI Development Rules are Historic, But Do They Matter? | These new guidelines are primarily directed at AI systems providers, whether those systems are built from scratch or on top of services provided by others. But the document authors urge all stakeholders to read the guidelines to help them make informed decisions about how AI is used in their organizations. | Artificial Intelligence |
sdxCentral - Ransomware attacks skyrocket 81%, a look at the daily life of a threat actor | One of their tried-and-true methods — and available at a modest price — is anti-detection browsers, commonly referred to as “antik.” Attackers can apply these tools to analyze, replicate and take advantage of digital behavior, all while evading detection. | Security |
Some all-flash vendors prognosticate the end of spinning disk (HDD) media in the coming years. While flash media and solid state drives (SSDs) have clear benefits when it comes to latency, are making major strides in density, and the cost per GB is declining, we see HDDs holding a 3-5x density/cost advantage over high-density SSDs through 2028. | Data Storage | |
CIO Influence - CIO’s Roadmap to Aligning AI with Organizational Culture and Operations | A few tasks can be entirely automated with AI; however, in most instances, AI will enhance these tasks. Its role in democratizing access to knowledge will render services offered by knowledge workers more economical, thereby fostering increased demand and job opportunities. Gartner predicts creating over half a billion new human jobs by 2033 by introducing AI solutions for task augmentation or autonomous task delivery. | Artificial Intelligence |
VentureBeat - A blueprint for the perfect Gen AI data layer: Insights from Intuit | Amit explains that Intuit took several years to work through this data layer, to make sure data was well integrated, accurate, governed, and non-replicated. Only after doing this were LLMs able to call upon that data to allow personalized interactions with Intuit’s 100 million small business and consumer customers. | Artificial Intelligence |
sdxCentral - Ransomware attacks skyrocket 81%, a look at the daily life of a threat actor | One of their tried-and-true methods — and available at a modest price — is anti-detection browsers, commonly referred to as “antik.” Attackers can apply these tools to analyze, replicate and take advantage of digital behavior, all while evading detection. | Security |
TechRepublic - What Is Predictive Analytics? Benefits, Models and Use Cases | A classification model is used to predict the correct label from the input values given for training. These models predict the category or class an observation belongs to based on its characteristics. Examples include logistic regression, decision trees, random forests and support vector machines. | Data & Analytics |
Datanami - Data and Algorithms: The Building Blocks of Artificial Intelligence | However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is designed to learn from tremendous amounts of diverse data to generate new multimodal content including text, image, audio, video, code, and 3D—hence generative AI. Without the algorithm, big data is just noise. And without data, the algorithm is irrelevant. | AI/Data |
Forbes - Doing More With Less: Cybersecurity Tools And Budget Efficiency | In an industry like cybersecurity that’s full of confusing acronyms and new products that vendors promise will improve your organization’s security, it’s easy to get swayed into spending money on products you don’t actually need. Now more than ever, it’s critical that companies look inward to optimize the cybersecurity tools they already have, using a mathematical, fact-based approach. | Security |
The LLM-based generative AI (genAI) revolution we’ve all been obsessing over this year is based on what is essentially a word- or number-prediction algorithm. It’s basically Gmail’s “Smart Compose” feature on steroids. | Artificial Intelligence | |
VentureBeat - A year ago, it was just ChatGPT — now LLMs are everywhere | According to SimilarWeb, in October 2023 alone, ChatGPT saw nearly 1.7 billion visits across mobile and web, with 193 million unique visitors and each visit lasting for about 8 minutes. To put into perspective, this is way more than the engagement witnessed by popular services on the internet, including Zoom and (214M visits) Google Meet (59M visits). | ChatGPT |
InfoWorld - The evolution of multitenancy for cloud services | These days we are focused on new, faster processors and reduced power consumption. More gains can be obtained by better optimizing the systems that manage how the processors and storage systems are allocated to tenant processes. If I were the CTO of a cloud provider, I would start there and then move to the CPUs and I/O systems, which are more important. | Cloud |
Network Computing - The Growing Middle Mile Networks Funding Debate | Congress appropriated $1 billion for the program and identified two key objectives: to “encourage the expansion and extension of middle mile infrastructure to reduce the cost of connecting unserved and underserved areas to the backbone of the internet” and to “promote broadband connection resiliency through the creation of alternative network connection paths that can be designed to prevent single points of failure on a broadband network.” | Network Management |
VentureBeat - AI21 leader: Leading LLMs remain ‘differentiated’, they are not commodities | “It’s very hard to create an excellent language model, and it can take a while to understand how good they are, and their limitations.” Generally available benchmarks, and even prototyping LLMs directly, will only give weak signals on how good a model is, he said. | Artificial Intelligence |
SiliconANGLE - Amazon CTO Werner Vogels architects a more frugal future for the enterprise cloud | “There is new AI and old-fashioned AI,” Vogels noted. “You should keep in mind that not everything needs to be done with these large language models. AI makes predictions, professionals decide.” | AI/Cloud |
VentureBeat - Generative AI is reshaping knowledge work. Are you ready? | As an IT leader, your company’s velocity and nautical mileage for adopting new solutions will vary. Yet even if gen AI holds great promise there is a sizeable gap in the number of technology tools available and the capabilities of employees to put them to use. | Artificial Intelligence |
With the use of generative AI skyrocketing and cyberattacks continuing to infect organizations, ongoing demands to decrease IT complexity with secure, efficient solutions will dominate IT budgets into the new year. In addition, perennial data storage management challenges — growing data volumes, tight budgets, skills shortages, complicated IT installations, and increasing cyber threats — will persist. | Data Storage |