AI Is Accelerating Database Change. Governance Must Keep Pace.
How to build database controls that keep pace with AI-driven change velocity.
AI is accelerating database change faster than most enterprises can govern it. Developers are building with AI copilots, pipelines are auto-generating migrations, and agentic workflows are producing DDL faster than teams can validate it. When schema change outpaces control, the impact does not stay contained. It shows up as drift between environments, degraded data quality, and downstream issues across analytics and AI systems.
In this webinar, Liquibase and Madison Schott from Learn Analytics Engineering will discuss what this shift looks like across the modern data landscape and what it means for the teams responsible for database delivery, governance, and reliability.
What you’ll learn:
- Why manual governance is breaking down under AI-driven change velocity
- How database governance becomes a strategic control point for AI programs
- How standardized database change governance produces audit evidence automatically
- What this means for enterprises modernizing database delivery at AI scale
- Why proactive modernization matters more now than ever before
Our panel of experts
