AI

AI is increasingly becoming part of database and data platform work. These articles explore practical uses of AI around SQL Server, data platforms, analysis, automation, and the operational judgement required when introducing new capabilities.

Large digital display at the entrance of Data Saturday Rheinland 2026 showing the event announcement at Hochschule Bonn-Rhein-Sieg.

What I Took Away from Data Saturday Rheinland 2026

Two days of technical sessions, direct conversations with speakers and practical exchange with other data professionals at Data Saturday Rheinland 2026.
AWS Summit Japan 2026 keynote session at Makuhari Messe with focus on Agentic AI and cloud platforms

AWS Summit Japan 2026: Agentic AI, Data Platforms, and the Operational Reality Behind the Hype

At AWS Summit Japan 2026, the AI message was hard to miss. But the more interesting signal was not the headline itself. It was how naturally Agentic AI data platforms are now being discussed together with infrastructure, analytics, security, developer experience, and operations. This matters because AI does not run ...
Technical workspace with laptop and notes representing responsible AI use in SQL Server consulting

Using AI in SQL Server Work Without Handing Over Responsibility

In many SQL Server environments, the difficult part is not collecting technical information. There are waits, execution plans, error logs, configuration values, SQL Server performance monitoring and tuning tools, backup history, job runtimes, and usually more than one opinion about what the real problem might be. The challenge is to ...

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