Using AI for Performance Tuning in SQL 2025
Proposed session for SQLBits 2026TL; DR
Discover how AI can help identify, analyze, and resolve T-SQL performance issues faster and more effectively than traditional methods.
Session Details
When performance problems strike, DBAs and developers are under pressure to find answers quickly. In SQL Server 2025 AI tools can now assist by analysing code, execution plans, and performance metrics in seconds.
This session demonstrates how to use AI to troubleshoot common SQL Server performance issues, including inefficient queries, missing or misused indexes, and sub-optimal query patterns. We’ll walk through real examples, showing how AI recommendations compare to traditional tuning techniques and how to combine both approaches for better results.
You’ll gain practical guidance on using AI responsibly, understanding its output, and avoiding common pitfalls while tuning mission-critical workloads.
This session demonstrates how to use AI to troubleshoot common SQL Server performance issues, including inefficient queries, missing or misused indexes, and sub-optimal query patterns. We’ll walk through real examples, showing how AI recommendations compare to traditional tuning techniques and how to combine both approaches for better results.
You’ll gain practical guidance on using AI responsibly, understanding its output, and avoiding common pitfalls while tuning mission-critical workloads.
3 things you'll get out of this session
Identify performance bottlenecks in T-SQL more quickly by using AI
Apply AI-generated tuning recommendations effectively
Integrate AI into an existing performance-tuning workflow
Speakers
Rich Benner's other proposed sessions for 2026
Hidden Power in SQL Server 2025: Off by Default, On by Choice - 2026
Level Up Your Stack with SQL Server 2025’s New Dev Features - 2026
Performance that Just Works: SQL Server 2025 Engine Enhancements - 2026
Death by a Thousand Cuts: Small T-SQL Mistakes That Destroy Performance - 2026
What Happens If I Write This? - 2026