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

Overview Poor schema planning creates rigid systems that fail under growing data complexityWeak indexing and duplication reduce performance and increase mainten ...

Anthropic dropped Claude Opus 4.7 on April 16, 2026, just days ago. A leak had the AI community buzzing for weeks beforehand. Now it's here, and it's their ...

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

ACES (Aftermarket Catalog Exchange Standard) and PIES (Product Information Exchange Standard) serve as the industry’s ...

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 ...

Arnav Mistra, Co-Founder and CTO of Doss, is a full-stack engineer and technical leader with a background spanning ...

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

Hilbert AI Co., a provider of analytics software for business-to-consumer brands, today announced that it has closed a $28 ...

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...

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

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...