DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today announced Nexus, which it positions as a knowledge eng ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

New dbForge release improves AI-powered SQL generation and adds PostgreSQL visual query building and table editing By ...

OverviewData scientists use Codex to automate repetitive analytics workflows and reduce manual coding.Companies deploy Codex ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

A Resume Genius survey of 1,000 U.S. job seekers found that 53% have either considered listing skills they lack on their ...

AWS Transform (ATX) is Amazon’s agentic AI service purpose-built to automate enterprise cloud migrations for VMware, .NET, ...

On the first day of Microsoft Build 2026 in San Francisco, Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database rebuilt from the ground up for ...

AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey ...