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How to harness the explosive speed of AI-driven development without losing control, compromising safety, or putting customer experience at risk.
AI is rewriting the rules of software delivery. Features that once took weeks to design and build now appear in minutes with the help of copilots. Prototypes rapidly morph into production-ready code, and the volume of changes flooding into systems feels like an unstoppable tsunami.
While this acceleration is a gift, it also introduces new risks — moving too fast without the right guardrails can compromise safety, reliability, and customer trust.
In this session, we’ll explore how leading engineering teams are evolving their delivery practices for the AI era. You’ll learn how to separate deployment from release to maintain control, and walk away with actionable practices to launch software at AI speed — safely.
Separating Deployment from Release — controlling exposure without slowing innovation.
Actionable Practices — concrete steps to launch software at AI speed, safely.
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