It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Not just any kind of data is suitable for AI training. Preparing data for AI might not be as interesting for the media as model releases, but it is very interesting for the companies actually making ...

The era of the “AI proof-of-concept” is closing fast as enterprises look to move past dazzling demos of AI’s potential, to production systems that deliver impactful business outcomes. Yet, as many ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Real data is not sufficient to train better artificial intelligence models, experts said at South by Southwest. But simulated data must be done right. Jon covers artificial intelligence. He previously ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...