AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Data foundations were never designed to support intelligent workloads at scale, but unified data lakehouse architecture might ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

By combining the efficiency of a Mixture-of-Experts architecture with the openness of an Apache 2.0 license, OpenAI is ...

How is the legendary media and publishing company Hearst using data and AI to transform its businesses in the 21st Century?

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...

Scaling agentic AI demands a strong data foundation - 4 steps to take first ...

As artificial intelligence moves from model training into broader commercial deployment, the underlying data center architecture is changing rapidly. Higher computing density, faster interconnect ...

A modern data fabric makes it possible to turn existing enterprise knowledge into a trusted foundation for AI.

Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...

AI applications do not run on models alone. They run on timing. A support copilot, fraud system, recommendation engine, or AI ...

The future of customer data strategy is moving beyond traditional CDPs toward composable, AI-driven architectures with ...