T-SQL Tuesday #173–The AI Job Helper

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tsqltuesdayThis month I had a new host, Pinal Dave. I was surprised to see he hadn’t hosted, but I didn’t see him in the list. His invite is interesting, as AI has been on his mind. I pinged him after listening to him on a webinar, and his invite reflects the topic: Has AI Helped with Your SQL Server Job?

It seems that our topics stray a bit further from core SQL topics as the world becomes more complex, and honestly, as more and more of us do things beyond just managing a server.

In any case, that’s the topic, and if you want to host, ping me.

AI Assistance

Has AI helped me? I don’t do a lot of SQL Server work, but I continue to learn about the platform and I do find myself writing code or helping customers find ways to build database software. I also started a short series on AI stuff as I experiment with tools and techniques.

In general, I don’t find Copilot or ChatGPT (or other tools) that helpful with SQL Server. I think I haven’t spent enough time, but honestly, I struggle to create prompts and work with things. However, I know there is something. If you watch Pinal’s webinar, AI isn’t perfect, but it’s like a coworker making some suggestions of things you might not have thought of.

Where I have found it useful is doing a question of an AI, often in Bing/Edge chat, and using that as a first search engine for what I want to look for rather than getting a list of results and clicking through them. In that sense, it’s saved some time.

However, I know I still need to evaluate what comes back and make an informed decision if the suggestion or code will actually work.

And of course, I need to test it.

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One response to “T-SQL Tuesday #173–The AI Job Helper”

  1. […] T-SQL Tuesday #173–The AI Job Helper: Steve Jones discusses the theme set by Pinal Dave on AI’s impact on SQL Server work. While not heavily involved in SQL Server, Way0utwest experiments with AI, like Copilot and ChatGPT, with mixed effectiveness for SQL tasks. AI has proven useful for initial searches, offering a quicker start than traditional methods, though it still requires critical evaluation and testing of its suggestions. This exploration highlights AI’s role as a potentially helpful, yet imperfect, tool in enhancing database management practices. […]

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