Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Oracle AI Database 26ai introduces Platinum and Diamond availability tiers, post-quantum cryptography, and AI agent data ...

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 ...

Government adoption of agentic AI has moved from pilot projects to a leadership mandate, with 82% of agencies already using AI agents and most planning expansion through 2027. On the enterprise side, ...

If you are a CIO or CISO evaluating an agentic AI platform, ask the same questions you would ask about any enterprise ...

Oracle and Meta have announced significant expansions of their cloud partnerships, deepening AI integration into enterprise operations. Oracle introduced a natural language AI database agent on Google ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

Meet Reveel IQ, a new AI tool that uses natural language to simplify complex carrier data. Model scenarios, audit costs, and ...

Snowflake Intelligence gains automation features, while Cortex Code will be able to access more data sources in more ways.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.