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, ...

As hospitals move from AI experimentation to enterprise deployment, many are discovering that fragmented, poorly governed ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

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.

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 ...

A new DataGrail report finds many AI vendors fail to disclose subprocessors and hidden models, exposing companies to rising shadow AI and data privacy risks.

Worldmodeldata emerges from stealth with funding to expand its platform for licensed video game training data for AI ...