Second-guessing the data you'll need for future AI initiatives might seem like an intractable challenge, but there are some crucial things you can do to prepare.

For decades, as the American economy tilted toward white-collar work, big urban counties thrived. Cities like New York, Boston, Chicago, and San Francisco boomed on the back of fast-growing service ...

How humans retrieve information has changed forever. Unlike with Google, AI is trained to generate an answer tailored to the ...

The European Commission on Wednesday unveiled sweeping changes to Europe's digital rulebook that critics say would give major ...

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

The convergence of AI capabilities with mature data governance represents an unprecedented opportunity to make government ...

Microsoft has invested in semantic models for over a decade through Power BI. These models encapsulate business logic and ...

For years, AI in drug discovery has been held back by a deceptively simple problem: the data isn’t good enough. Mountains of sequencing, pooled perturbation studies, and those mixed-cell experiments ...

Amazon is seeing huge demand for AI cloud services. Keeping up with this demand has been a challenge, though.

I Know What It Takes to Get a Job in This Market. My Friend Doesn’t Want to Hear It.