Enterprise data stacks are notoriously diverse, chaotic and fragmented. With data flowing from multiple sources into complex, multi-cloud platforms and then distributed across varied AI, BI and ...

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, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Shopping will always be part of the human experience. But with the advent of AI ...

Artificial intelligence is fundamentally changing how companies buy goods and services, transforming procurement from a back-office function into a strategic business driver. Where procurement teams ...

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.