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, ...

“This looks like a rock concert, but for data people,” said Conviction CEO Sarah Guo at the opening keynote of Snowflake Summit 2025, hosted in San Francisco. A crowd of 20,000 erupted in cheers as ...

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.

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Yet despite growing interest, scaling these agents successfully remains elusive. Forrester warns that three out of four firms attempting to build agentic AI without the right foundations will fail.

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

Do you use an existing GenAI model (ChatGPT, Claude, etc.) and find yourself frustrated with the lack of precision, ...

Data now fuels everything from daily operations to long-term strategy, making data literacy—the ability to read, understand and leverage insights from data—a core business skill for professionals ...