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

Enterprise data platforms become harder to scale as data volumes grow. Organisations then tend to use multiple tools to fix, ...

Why modern observability systems fail during incidents, and how new architectures fix them.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

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

As artificial intelligence deeply permeates all industries, competition among AI applications has shifted far beyond model parameter comparisons — it now centers on data quality and scenario ...

As the era of Physical AI unfolds, high-quality data has become the "new infrastructure" driving robotic evolution. However, ...

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

A startup was left scrambling after a rogue AI agent deleted swaths of code underpinning its business ...

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

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