Databricks has outlined a reference architecture for a multi-agent AI system, named AiChemy, that combines internal enterprise data on its platform with external scientific databases via the Model ...

That’s according to recent reports from SentinelOne and Fortinet. Meanwhile, AI speeds up attacks, automating exploits and creating deepfakes that hit faster than ever. You deal with prompt injection ...

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.

Insurance AI isn't just about the model; it’s about building a "beast" of a backbone that can process thousands of pages in ...

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 ...

The main usage metric for artificial intelligence, called tokens, looks explosive on paper, but it may be significantly ...

The company added new capabilities to Snowflake Intelligence and Cortex Code to help businesses deploy AI agents at scale.

Dashboards are great for steady states, but they buckle during real crises. We need a data layer that handles messy, ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...