Data-Driven Strategies in the AI Age

In an era where GenAI is proclaimed as both the savior and destroyer of traditional database development, organizations face a critical challenge: how to effectively leverage AI while maintaining SQL performance and expertise.

This presentation cuts through the hype to explore how AI can serve as a bridge between expert and everyday developers. Through scenarios based on common industry challenges, we'll examine the potential pitfalls and opportunities in combining AI with traditional SQL expertise, including how seemingly minor query differences can lead to significant performance and cost implications in cloud environments. Drawing from industry observations and emerging practices, we'll examine concrete strategies for using AI to accelerate junior developer growth while reducing the burden on senior developers.

Attendees will leave with actionable insights on combining AI tools with human expertise to improve query performance, reduce costs, and build stronger development teams. Whether you're skeptical about AI's role in database development or eager to implement it, this session provides practical guidance to help inform your organization's approach to AI adoption in database development.

Key Takeaways
- Learn practical approaches to SQL optimization with AI assistance that can significantly improve database performance.
- Discover how SQL coders are adapting to AI tools - with over half of developers now using AI coding tools.
- See demonstrations of identifying and solving common performance issues that can dramatically impact database performance.
- Get an implementation roadmap based on successful software transformation approaches from industry experience.
- Walk away with actionable team development strategies that combine AI tools with human expertise to build stronger SQL development practices.