AI Adoption and Usage
  • 02 Jun 2024
  • 7 Minutes to read
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AI Adoption and Usage

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Article summary

The following are links to articles and posts that talk about the adoption and usage of AI and ChatGPT.  All of these links are in our knowledge base - either in our tech news, blog section, or analysis sections. We will add additional links as they come across so visit us regularly if this subject is of interest.

eWeek - 10 Most Impactful AI Trends in 2024

eWeek - 10 Most Impactful AI Trends in 2024

As we power through 2024, staying ahead of today’s key AI trends is essential for IT professionals and businesses aiming to leverage cutting-edge technologies to drive growth and innovation. Here’s a quick glance at the top AI trends of the year and their potential impacts:

VentureBeat - McKinsey: Gen AI adoption rockets, generates value for enterprises

 https://venturebeat.com/ai/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.

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Reuters Institute - What does the public in six countries think of generative AI in news?

 https://reutersinstitute.politics.ox.ac.uk/what-does-public-six-countries-think-generative-ai-news

ChatGPT is by far the most widely recognised generative AI product – around 50% of the online population in the six countries surveyed have heard of it. It is also by far the most widely used generative AI tool in the six countries surveyed. That being said, frequent use of ChatGPT is rare, with just 1% using it on a daily basis in Japan, rising to 2% in France and the UK, and 7% in the USA. Many of those who say they have used generative AI have used it just once or twice, and it is yet to become part of people’s routine internet use.

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TechBullion - Impact Of AI Chat Technology Across Key Industries

 https://techbullion.com/impact-of-ai-chat-technology-across-key-industries/

AI chat technology is transforming various industries by enhancing customer service, streamlining operations, and improving overall efficiency. From retail and healthcare to financial services, travel and hospitality, e-commerce, and education, AI chatbots and virtual assistants are driving innovation and delivering significant benefits. As these technologies continue to evolve, their impact will likely grow, further revolutionizing the way businesses operate and interact with customers. By embracing AI chat technology, industries can enhance their service delivery, optimize processes, and stay competitive in an increasingly digital world.

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Fast Company – Instagram is training AI on your data. It’s nearly impossible to opt out

https://www.fastcompany.com/91132854/instagram-training-ai-on-your-data-its-nearly-impossible-to-opt-out

 

“To help bring these experiences to you, we’ll now rely on the legal basis called legitimate interests for using your information to develop and improve Al at Meta. This means you have the right to object to how your information is used for these purposes. If your objection is honored, it will be applied going forward.”

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Computerworld - Public opinion on AI divided

 https://www.computerworld.com/article/2127416/public-opinion-on-ai-divided.html

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.

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Diginomica - Clarity may be emerging in AI capabilities pricing. Here's how

https://diginomica.com/clarity-may-be-emerging-ai-capabilities-pricing-heres-how

Software vendors have poured on the communications blitz to inform customers and buyers that they have started incorporating artificial intelligence into their products. But, they have simultaneously, conspicuously and quietly avoided discussions about what these new capabilities will cost. Hang onto your checkbooks folks as software vendors might be gearing up to wallet-frack your company’s bank account again.

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Information Week - Addressing Trending Questions About Generative AI

https://www.informationweek.com/machine-learning-ai/addressing-trending-questions-about-generative-ai

The most forward-thinking organizations are creating an ongoing GenAI educational curriculum to build awareness, increase knowledge and foster creation among their staff. This approach feeds a dynamic, iterative process of collecting ideas and use cases in a methodical manner.  

Techradar - Hardly any of us are using AI tools like ChatGPT, study says – here’s why

https://www.techradar.com/computing/artificial-intelligence/hardly-any-of-us-are-using-ai-tools-like-chatgpt-study-says-heres-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.

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Computerworld - Job seekers and hiring managers depend on AI — at what cost to truth and fairness?

https://www.computerworld.com/article/2128296/job-seekers-and-hiring-managers-depend-on-ai-but-at-what-cost-to-truth-and-fairness.html

The darker side to using AI in hiring is that it can bypass potential candidates based on predetermined criteria that don’t necessarily take all of a candidate’s skills into account or they can contain hidden biases based on how they were trained by their creators. And for job seekers, the technology can generate great-looking resumes, but often they’re not completely truthful when it comes to skill sets.

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VentureBeat - OpenAI is devouring the media industry

 https://venturebeat.com/ai/openai-is-devouring-the-media-industry/

The most obvious answer is that in so doing, it gains access to licensed training data that it can use to build powerful new AI models that can write as well as your average Wall Street Journal reporter.

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ZDNet - I tested Opera's new Gemini-powered AI capabilities and came away impressed

 https://www.zdnet.com/article/i-tested-operas-new-gemini-powered-ai-capabilities-and-came-away-impressed/

This new integration isn't just about being able to respond more quickly and accurately to queries. Users will also find Opera's Aria AI now includes new features, such as the ability to read responses out loud. It's also capable of rendering images based on queries, thanks to the Imagen 2 model on Vertex AI.

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ComputerWeekly - Why reliable data is essential for trustworthy AI

 https://www.computerweekly.com/news/366586593/Why-reliable-data-is-essential-for-trustworthy-AI

“Governance is even more critical when delivering AI-infused data products,” Gartner’s Alys Woodward told the firm’s Data and Analytics Summit. “With AI, unintended consequences can emerge rapidly. We’ve already seen some examples of successful implementations of GenAI. These organisations deploy the technology with appropriate guardrails and targeted use cases, but we never know when our AI-infused data products will lead us into trouble.”

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Forbes - Three Change Management Priorities For Seamless GenAI Deployment

https://www.forbes.com/sites/forbestechcouncil/2024/05/29/three-change-management-priorities-for-seamless-genai-deployment/?sh=1f848e537812

It’s also important for employees and customers to be assured that their data privacy will continue to be top of mind as the technology becomes further scaled to be used within day-to-day workstreams. Be sure to communicate that protocols and guidelines will evolve in the spirit of fostering an ethical and socially responsible AI culture. All of this translates to more support and buy-in across the enterprise.


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