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 ...

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 ...

QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...

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

When building their AI capabilities, organizations should first understand what they need from an AI consultant.

GrocerIQ Holdings, Inc. (OTC: GRIQ), a developer of Physical AI (PAI) infrastructure for real-world commerce, today announced the completion of its core platform architecture, marking a significant ...

There is a growing realisation that while AI models have been scaling, they no longer deliver transformative leaps.

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...