When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Did you know that businesses using well-structured data models in Power BI can reduce their data processing time by up to 50%? The key lies in choosing the right schema. Whether you’re leaning towards ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Anything you’ve ever posted online—a cringey tweet, an ancient blog post, an enthusiastic restaurant review, or a blurry Instagram selfie—has almost assuredly been gobbled up and used as part of the ...

Data can feel overwhelming, especially when it’s scattered across spreadsheets, databases, and countless other sources. If you’ve ever stared at rows of numbers, wondering how to make sense of it all, ...

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 ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...