AI won’t replace DBAs—but DBAs who know how to use AI will replace those who don’t. Tools like GitHub Copilot, ChatGPT, and other AI assistants can act as powerful force multipliers, helping DBAs write T-SQL, generate PowerShell scripts, review execution plans, and even draft documentation. But there are also risks: incorrect AI output, data privacy concerns, and over-reliance on generated code.

In this session, we’ll cut through the hype and take a realistic look at AI for DBAs.

You’ll learn:

What AI is good at today—and what it isn’t

Practical use cases: from script generation to performance tuning assistance

How to validate and safeguard AI-generated solutions

The limits of AI in sensitive, production-grade environments

You’ll leave with a clear framework for using AI responsibly and effectively in your daily DBA work, gaining leverage without losing control.