Enterprise AI may be the quieter side of the AI boom, but it's where some of the most significant opportunities are emerging. Palantir is positioning itself at the center of that transformation.

Local, no-retention software is now the standard for financial services CHICAGO, IL / ACCESS Newswire / September 11, 2025 / ...

Ellie.ai announces new capabilities in its AI-assisted semantic data modelling platform. New intelligent source system navigation with synthetic metadata creation and enhanced reusability are designed ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

MCP is more than protocol, it’s a strategic enabler. It gives AI agents the structure they need to interact with enterprise ...

Trust remains the defining challenge of the AI era—and the clearest path to advantage. Organizations that get it right will ...

The Next Frontier. In contrast to traditional supply chains, which react to problems after they emerge, cognitive supply ...

While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is your data quality management (DQM) program ready for AI? In my opinion, you need to be able to ...

Abstract: In digital transformation, which is one of the most important keywords of our time, the completeness and accuracy of the data that users enter into applications directly affects the quality ...

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.