Artificial Intelligence | News, analysis, features, how-tos, and videos
An AI startup is turning call centers into a successful model of using AI to support human employees.
The average user doesn’t want (or isn’t able) to decide which model to use or how to finesse a useful prompt. We need software applications that can handle this.
The companies replacing their junior developers with AI will be in big trouble when they realize they have no one to become a senior developer.
Despite serious dangers, the efficiency benefits of using generative AI tools for programming are all-but-impossible to resist. We need an entirely new human-in-the-loop approach to software management.
A core group of smart and well-meaning people would dearly love all AI to be open source. If only developers cared.
Enterprises are overwhelmed by AI dreams and employees who lack the skills to make them come true. May I suggest a hackathon?
Once we get past the disappointment that AI can’t solve everything, we can use it for things it’s actually good at.
Fueled by vibes and with stars in their eyes, enterprises are not taking the time to understand generative AI’s limitations and to create their own rules-based approach.
Smart companies will experiment with small generative AI applications to gain the skills and confidence to try bolder projects.
We’re still waiting for a trusted vendor to spare enterprises from the confusion and guesswork of artificial intelligence.