DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit a 65% error rate without it.

LINQ to SQL continues to be a top contender in the .NET object/relational mapping tool market despite Microsoft's promotion of the Entity Framework as one of the "Pillars of SQL Server 2008: Dynamic ...

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

D&B rebuilt its Commercial Graph of 642 million businesses so AI agents can verify business identity in real time — without ...

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

NET 11 Preview 4 delivers a broad set of developer-facing updates across .NET MAUI, ASP.NET Core, Blazor, Entity Framework Core, the SDK, libraries and runtime performance work.

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

Map processes and drive continuous improvement to optimise operations and reduce costs. Define and support BI solutions with IT, ensuring alignment with business needs. Present insights and engage ...

Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and ...

I’ve spent a lot of time inside enterprise AI deployments, and one thing that has become clear is that IT departments are ...

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.

DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop ...