In the agentic AI era, the biggest risk may not be a bad model. It may be good-looking automation built on data no one can ...

The familiar adage “garbage in, garbage out” oversimplifies the challenge. Data isn’t inherently garbage. A temperature reading, a point of service transaction record made by a cashier, or a sensor ...

Last week, Anthropic proposed a $1.5 billion settlement to resolve a class-action lawsuit from authors who say their books were used -- without permission -- to train the company’s AI systems. The ...

NEW YORK--(BUSINESS WIRE)--Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with ...

Pharmaceutical research and development is becoming more expensive and taking longer. Innovative AI scale-ups and platforms are addressing this by quickly accumulating vast datasets, but the larger ...