OSS can be too risky for banks and FinTechs working to meet security, governance, and compliance demands. Know the risks.

Connecting an LLM to your proprietary data via RAG is a massive liability; without document-level access controls, your AI is ...

From AI-driven attacks to cutting-edge vector search capabilities, 2026 is redefining how we secure, optimize, and manage SQL databases. New SQL Server features, evolving threat landscapes, and modern ...

Oracle has introduced the AI Database Agent for Gemini Enterprise through its Google Cloud partnership, enabling natural ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

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

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.

SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

Inductive Automation and Tiger Data, the creators of TimescaleDB, today announced a strategic alliance to modernize the industrial historian market. The collaboration brings together two platforms ...

A large portion of the web still runs on PHP for backend processing and data management. In 2026, it remains a practical ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...