A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

For leaders looking to take on this kind of change, my advice is simple. Create space for collaboration, keep the accountability clear and build with empathy.

GitHub’s CodeQL is a robust query language originally developed by Semmle that allows you to look for vulnerabilities in the ...

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific features as much as about integration, scale and reliability: It supports ...

Microsoft has released the first release candidate for SQL Server 2025, touting AI capabilities and experimental features ...

We look at data management tools from storage array makers, who supplies them, what they can do, and whether they stretch to managing third-party storage in customer datacentres.

Unlock the potential of unstructured data with AI tools that enhance RAG agents, improve accuracy, and simplify data-driven ...

Learn the key differences between Docker Desktop and Docker Engine to optimize containerization, DevOps workflows, and development setups.

Employees Using Unapproved AI Tools Risk Data Leaks. Here’s How to Stop Them AI is powerful but potentially risky tech. It might be time to draft an official use policy to protect your company ...