AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

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 ...

AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today!

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...