According to Bukovec, one of the reasons why AI inference works for business intelligence so well is because a lot of context can be gleaned from the way the question is asked.

Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language ...

As of today, July 14, 2026, SQL Server 2016 has reached end of support. For the past decade, SQL Server 2016 has helped organizations run mission-critical applications and support the data needs of ...

Artificial intelligence is increasingly shaping how developers design, query and maintain databases. While traditional database modelling tools focus on visualisation and manual schema definition, ...

This is a working SQL Server database called CredentialingDB, plus everything around it that a DBA actually owns: the data model, the deployment and rollback scripts, the index strategy, the ...

Microsoft on Wednesday declared DNS over HTTPS (DoH) generally available for Windows DNS Server, making it the first time enterprises can encrypt client-to-resolver DNS traffic in a production Windows ...

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I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...

Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk ...

SQL Server DBA specializing in performance tuning and disaster recovery. Bad code rarely begins the cascade of most SQL Server performance problems. Typically, it begins with something that is much ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to automated testing, AI tools are increasingly embedded in the daily ...