New workload demands are turning data handling into a system-level design challenge rather than a back-end afterthought.

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

As AI, enterprise adoption, and compliance converge, the ability to compute on sensitive data without exposing it on public ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Both are pouring serious resources into building genuine technical bridges between OpenAI's AI capabilities and Snowflake's ...

Airtable co-founder Howie Liu explains how maintaining full execution visibility solves the context management challenge in multi-agent systems.

A Google DeepMind invention that uses artificial intelligence (AI) to predict how DNA mutations behave could have a ...

Tesla's unconventional Cybertruck electric pickup truck may soon be heading for an autonomous, commercial future, the company ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...