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 ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Google Cloud introduced a new AI agent platform, updated data architecture, and eighth-generation TPUs at Next 2026.

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.

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

Explore the Top 10 Analytics Platforms for Financial Services, featuring Google Cloud, LSEG and Oracle, driving innovation in ...

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

Discover Industrial Intelligence Unlocked with Microsoft at HMI 2026. Discover how agentic AI, digital twins, and edge AI are ...

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

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

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 ...