This past summer McKinsey Global Institute projected almost one-third of workplace activities in the U.S. will be automated by 2030, driving something like 12 million “occupational transitions.” 

What does it take to scale the technology from a toe in the water to a full-on swim? 

A study projects AI funding will continue to increase, resulting in a massive number of new products during the next decade. 

Phoenix Children's Hospital uses AI to rapidly develop new algorithms to help solve clinical and automation issues specifc to the hospital in as little a few hours.

Training AI for use in healthcare requires feeding algorithms patient data, and lots of it. This opens data custodians—typically hospitals—to various points of potential legal exposure.

The AI Security Center, AISC for short, has as its inaugural leader U.S. Army General Paul Nakasone.

Almost half of U.S. executives working in or close to the C-suite, 44.7%, see AI as the emerging technology most likely to put their internal-control systems at risk over the next 12 months.

Generative AI of the “large language” kind has been an attention hog over the past 10 or 11 months. The buzz has been so loud and constant that it’s all but asking to be dismissed as hype.