Release engineers currently spend 40% of their time manually verifying environment health, creating a bottleneck that forces teams into risky, oversized release batches.

This session presents a transformative roadmap to move AI beyond simple code assistance into the role of an autonomous "Release Pilot".

Attendees will learn how Gemini AI reimagines the entire release lifecycle:

- Intelligent Automation: From semantic PR triage and self-healing CI/CD pipelines to "Intelligent Test Selection" that reduces test suites to the most relevant 5%.

- Predictive Risk Assessment: Replacing subjective "Go/No-Go" meetings with a quantitative "Release Confidence Index" (RCI) based on stability, complexity, security, and observability signals.

- Post-Release Intelligence: Automating stakeholder-specific release notes and using post-release metrics to turn failures into blueprints for future velocity.

We conclude with a pragmatic 90-day migration path—Observe, Advise, and Pilot—designed to build team trust while achieving an 80% reduction in manual release meetings. Join us to discover how to build a release process that isn't just faster, but smarter and self-healing.

This talk introduces an autonomous "Release Pilot" using Gemini AI to transform the delivery lifecycle.

Learn to replace subjective "Go/No-Go" meetings with a quantitative AI Risk Score (RCI) and automate complex tasks like semantic PR triage and self-healing pipelines.

We conclude with a pragmatic 90-day roadmap—Observe, Advise, and Pilot—to turn your release process into a faster, smarter, and self-healing competitive advantage.