Enterprises are scrambling to figure out their AI stack, built not just for capability or scale, but for trust in the quality ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

Maybe you've heard of this new thing: the “independent data layer.” But, what is it? How does it work? And why the heck should you care? Think of all the things you do today in buildings. Or maybe all ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...

What emerges is a broader issue I see repeatedly in enterprise AI programs: a context gap between what AI systems can ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

In today’s computing environment, businesses must revamp their data architecture, as it’s essential not only for technological advancement, but also for enhancing enterprise capabilities and ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. When Miqdad Jaffer, product lead at OpenAI, challenged ...

SageX is an AI-native enterprise data platform designed to transform unstructured and multimodal data into governed, ...

We are long past the point where we need to formalize a dedicated data tier that decouples a building's automation or management system from the downstream applications that rely on its data. December ...