“QueryData shows Google is trying to create a standard way for AI agents to safely access and use data. While OpenAI focuses ...

There is a precedent for such a database: in the 1980s, the US medical field faced a crisis because physicians who had ...

How do we design assignments AI can’t complete? These are real questions. But they start in the wrong place. The deeper ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building context-aware agents.But moving from a basic prototype to a production-ready ...

Foxglove, a leading observability and data platform for Physical AI, announced today Data Search and Curation, a new set of capabilities that helps robotics teams replace fragmented, manual data ...

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 ...

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...

In late 2024, Chinese models accounted for one percent of global AI workloads. By the end of 2025, that figure had surged to ...

By establishing the right data foundation, organizations can support the governance, reliability, traceability and quality ...

Artificial intelligence (AI) researcher Andrej Karpathy has outlined a new way of using large language models (LLMs) to build personal knowledge bases, moving away from the more widely used ...

SAVE is an incomplete and flawed database that has been shown to produce a massive number of false positives, incorrectly ...