Salesforce’s acquisition of Informatica shifts the data foundation from being strategic to more structural, as the customer ...

Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

Thomson Reuters’ AI approach shows why trusted outputs depend on authoritative data, rigorous governance, and domain ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

The new Ann Arbor university center will unify fragmented criminal justice data to inform research and policy nationwide, ...

Rather than trying to aggregate everything into one system, we will have to start focusing on creating greater efficiency ...

AI systems create value only when they can work with reliable business data. A predictive model trained on incomplete transaction records, a chatbot connected t ...

Creating data products is a good way to accelerate delivery, reuse data assets, reduce risks, and manage costs. Standardized ...

By integrating Oshyn's suite of digital experience tools directly with popular AI assistants, the new MCP server ...