The use of OpenAI tools is becoming widespread among employees who, with more than 4,000 active GPTs and an average use of 4.1 days per week, claim that it saves them nearly three hours a week. This impact translates into time-savings of up to 80% for certain specific tasks, such as report writing or risk analysis.
🔗 Antonio Bravo: “AI is driving a structural transformation within the banking business”
Questions asked and not asked of Andrew Clay Shafer
We interviewed Andrew for Software Defined Talk last night. It will be our next week. Here are some questions I had prepared. I didn’t get to all of them of course.
How do you prepare for things? I can never tell if I prepare too much or too little. How do you figure out applying academic knowledge to business? Would you work at a big company again? What’s the difference between “not having a boss” and having clients?
If this stuff actually “just works” with Apple stuff, that would be cool. Side-note: was that Matter stuff just a crock of shit? Seems like it.
🔗 IKEA Debuts 21 HomeKit-Compatible Smart Bulbs, Sensors, and Controls
The “infinite loop” problem in AI security is real, and there are ways to break it.
🔗 Shifting Security Left with AI — Is It Truly AI-Assisted Security, or an Infinite Loop?
“We’ve all got to die of something, he thought. Even if it’s just from staying alive too long.” Mini-story: Retirement
When to stay public - Modeling staying in public cloud versus moving out of it.
Little buddy - ‘Some 36% of active users consider generative artificial intelligence (GenAI) “a good friend”’
AMS -> LCY
Good guide on picking a chat bot.
Good guide on picking a chat bot.
🔗 An Opinionated Guide to Using AI Right Now
If failure is the norm, a 95% failure rate for AI projects isn't so shocking.
Suppose that 95% of enterprise AI transformations fail. How does that compare to the failure rate of normal enterprise IT projects?
This might seem like a silly question for those unfamiliar with enterprise AI projects - whatever the failure rate, surely it can’t be close to 95%! Well. In 2016, Forbes interviewed the author of another study very much like the NANDA report, except about IT transformations in general, and found an 84% failure rate.