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

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

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.

A lot of companies think they have an AI problem. What they really have is a coherence problem across operating model, architecture, and capital allocation.

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

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

With data quality and governance key to AI success, IT leaders — and their CEOs — can no longer overlook data debt. Experts ...

Oracle’s approach to bring AI to data (instead of the other way round) is being tested by SMRT, where safety demands ...

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 ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...