Most DevOps teams are curious about AI and ML, but when it comes to database delivery, things can feel… rigid. The workflows are precise, the rules are strict, and the stakes are high - one wrong change can break production.

In this session, we’ll explore how to weave AI, ML, and intelligent agents into your existing Database DevOps setup without turning it into an academic science project. We’ll keep things practical:

1. How AI can suggest, refine, and even auto-generate database changelogs
2. How intelligent agents can act as watchful copilots, catching anomalies and guiding rollback decisions

We’ll talk tools, examples, and real-world guardrails, so you leave with ideas you can actually try - not just buzzwords. Think of it as upgrading your Database DevOps from “smart” to “street-smart.”