ICYMI: AI loops, AI-ready data, and an IT job boost
Your curated briefing on the week’s smartest news and ideas for AI-powered service management
The world of tech moves fast. Every other week, we bring you some of the best stories to stay on top of the trends and at the top of your game. This week: IT employment is strong, organizations need to get their (data) house in order, and Tom Davenport bursts the AI productivity bubble.
The Next Platform: Why AI-ready data is the real advantage
“The bottleneck for enterprise AI is increasingly messy, fragmented, and ungoverned data rather than GPUs or models. “AI-ready data” will become a durable competitive advantage as companies move from experiments to production AI factories.” Read more.
CIO Dive: IT unemployment dips below 3% for the first time this year
“Last month’s employment data shows businesses are continuing to ramp up technology investments, according to Seth Robinson, VP for industry research at CompTIA.
“Even as some tech companies announce layoffs, employers in other industries are accelerating digital transformation initiatives and moving from AI experimentation to implementation,” Robinson said in the announcement.” Read more.
CIO.com: IT isn’t holding AI back, your business processes are
“While CIOs can’t control how business workflows are designed, they have a role to play in pushing for processes that better make use of AI tools, notes Anjali Shaikh, MD of Deloitte Consulting and leader of the Deloitte global CIO and US tech executive programs. “What we’re hearing now is that AI isn’t just exposing those technology limitations, but enterprise design limitations … technology is no longer the bottleneck, it’s the operating model and the ways of working.” Read more.
Fast Company: AI learning loops aren’t an engineering trick. They’re a governance issue.
“A prompt asks for an output. A loop creates behavior. That difference changes everything. A prompt can be wrong and disappear. A loop can be wrong and compound. It can observe, act, receive feedback, adjust, and repeat. That is exactly why loops are powerful. It is also why they are dangerous if companies do not understand what they are optimizing.” Read more.
Tom's Substack: Ten reasons we won’t see productivity improvement from GenAI
“Organizations are not likely to get business value with genAI if their primary focus is improving individual productivity. … You need to redesign end-to-end processes around AI capabilities if you’re going to get substantial value from AI. And that, as I wrote about a couple of months ago, is hard. Even if you do it successfully it’s going to take years.” Read more.
In case you missed it on The Works:
The Works Magazine: The Performance Issue
Don’t miss this inaugural issue where we share the inside stories on how McLaren, New Balance, and others turn service performance into a competitive edge. Download now.
