As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward.

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

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

RAG retrieves documents but not decision logic, causing agents to act on expired rules. Decision context graphs encode ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Dell Technologies World 2026 keynote: why time to token and cost per token are now the essential metrics for enterprise AI ...

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 ...

2) Park a “starter step” the night before End each day by leaving a five-minute task sitting on your desk or in your doc: a prewritten subject line, the first SQL query, slide titles. Starting ...

Storm-2949 turned stolen credentials into a cloud-wide breach, moving from identity compromise to large-scale data theft ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...