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It takes effort and time.
I stumbled into technology in the 80s after being in middle management and a stint as a stockbroker. I didn't attend college and had no formal technology training.
The main reason that I know anything about AI is because I read a lot, and I have stayed engaged.
I began the creation of my tech-only knowledge base, Teckedin.com, in 2019. It started off as a two-sided platform. In 2021, I threw everything away and started over from scratch.
Little did I know how things would change in 2022 with the release of ChatGPT.
How have I kept up and stayed current?
The premise of my knowledge base is to offer information from multiple sources in one place so that our readers learn and gain broad perspectives. We hand-curate and share information in business technology. For the first year, it was a mixture of IT management, document management, network management, cybersecurity and data/analytics. Over the last couple of years, AI content has taken over.
I have never been a programmer, as don’t have the right brain for that. I am not a data expert, nor a security expert. But, after reading thousands of articles and posts over the last three years, I have a well-rounded knowledge of the pros and cons, good and bad of AI.
As a woman in tech for over 30 years, I have read many articles about how to get women involved in AI. I have also seen comments on social media about how it’s all of our responsibility to learn and not someone else’s responsibility to get us involved and engaged. I have to agree with that. I also know that it’s not so cut and dry either.
So much information is published daily on AI that we have started separate buckets. Here are some of our collections and some recent additions.
AI Adoption and Usage
Diginomica - AI for ROI, not FOMO - three lenses for adoption in a post-hype world
If an AI project is an experiment - there’s likely to be uncertainty of how big it could grow. Both at the trial phase and looking further down the line to full scale implementation. Being able to grow from POC, through deployment, and then support a successful project is vital. Organizations need to be able to scale without having to throw away computing resources and start again.
AI EduPathways - Balancing Productivity and Purpose: The Corporate Risk of AI Adoption
“Why? Because AI isn't just augmenting human creativity – it's replacing it. The study found that artificial intelligence now handles 57% of "idea generation" tasks, traditionally the most intellectually rewarding part of scientific work. Instead of dreaming up new possibilities, scientists may find themselves relegated to testing AI's ideas in the lab, reduced to what one might grimly call highly educated lab technicians.”
FedScoop - Federal government discloses more than 1,700 AI use cases
According to the CIO Council post, OMB granted year-long extensions to be in compliance with risk management practices to 206 use cases. The most common risk management practices that agencies cited needing an extension for were “the requirement to conduct independent evaluations, mitigate emerging risks to rights and safety, and complete an AI impact assessment for their rights- and safety-impacting use cases,” the post said.
BigDataWire - Survey: 86% of Enterprises Require Tech Stack Upgrades to Properly Deploy AI Agents
The survey reveals plans to make significant investments in AI agents, with 42% of enterprises planning to build over 100 AI agent prototypes and 68% budgeting $500,000 or more annually on AI agent initiatives. However, this scale of deployment faces serious hurdles without a unified integration platform, as evidenced by nearly half of respondents (48%) reporting their existing integration platform as a service (iPaaS) products are only “somewhat ready” for AI’s data demands.
eWeek - 53% Surge in AI Recruitment Adoption: Key Findings from HR Research Institute
Although artificial intelligence is being rapidly integrated into HR software and enterprise technology solutions, satisfaction with these tools is growing far more gradually. Just 45 percent of HR professionals rated their recruitment tech stacks as good or excellent, a mere six percent increase from 39 percent in 2023. This is a mild improvement compared to the vast increase in AI recruitment adoption, suggesting that while many HR professionals are using AI tools for hiring, a disproportionately lesser number are seeing its benefits.
AI and its Effect on Jobs
Forbes - Three Practical Reasons To Consider AI Agents For Your Organization
I am currently analyzing the economics of automating call centers with and without Generative AI. In it, I have calculated that for the price of $30 dollars worth of AI “tokens” per day (AI models operate on pieces of words or images known as tokens) I can automate a majority of a call center employee’s job. The fully loaded cost of a call center workers salary in the US is about $300 per day. That means that for about 10% of a human worker’s salary I can create a digital worker to deliver 50% or more of their job, and I still have $290 per day to automate even more.
Diginomica - AI in recruitment - will the technology lead to a change in the hiring process?
“I don’t believe that any hiring process should be 100% automated – ever. There’ll always be a need for human interaction. This is a very personal and human process, so humans need to be involved in it. People aren’t ready for AI-based interviews, for example. So, while the technology may be there, I’m not sure we as humans are, and won’t be for another 10 years minimum. How I use AI internally is to supercharge others, so it’s never about replacing them, just helping them do their job better. And at the front end, it's always about human interaction.”
VentureBeat - Slack is becoming an AI workplace: Here’s what that means for your job
“Right now there is a human evoking different agents,” Silvio Savarese, who leads Salesforce’s AI research, told VentureBeat. “The future will have an orchestrator agent which will be calling out different specialized agents that will be talking, working together, performing tasks.”
Curated Blogs on AI, LLMs, ChatGPT
We collect articles and posts throughout the day using a solution from Upcontent. You will see links from technology websites, Substack authors, and more. We share what is shareable. No one is paying us to have their content in our collection.
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My thoughts and opinions on ChatGPT and other solutions.
I have used the free version of ChatGPT about six times. The only reason was to see what it said about Teckedin.com. I can see the value of this tool and other search tools for putting out questions and getting some quick answers. But, does it really help us retain and learn? I have my doubts.
How much further can technology go when it comes to text, video, and image creation? And how many jobs will be gone?
When will data privacy, data governance, and ethics become a priority? From almost everything I read, the technology bells and whistles are getting most of the press.
I am open-minded and love learning about new innovations. But, technology for good and humanity is always at the forefront.