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

A new data infrastructure layer standardizes product, pricing, and media distribution across the fragmented marine ...

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

The missing layer between data and action is decision architecture: the explicit design of who decides, when they decide, ...

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 ...

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 ...

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 ...

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

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 ...

As regulatory agencies catch up with the information age, thoughtful data historization is becoming more vital to the normal operation of any good-practice facility. Pharmaceutical companies now hoard ...

For more than 20 years we have been using Layer 3 connectivity powered by dynamic routing protocols to route traffic between data centers, but adoption of virtualization and geo-clustering ...