Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...

Arti Raman is the founder and CEO of Portal26. She is an expert on managing and mitigating risk for enterprise GenAI and data. The distinction between generative AI (GenAI) model building and GenAI ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

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 readiness is not fundamentally a model problem. It is a data and metadata issue,” Garg said.

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