AI is changing how software is built, how teams operate, and how organizations think about risk. Hosted by GitLab, this dinner is an opportunity to exchange perspectives on the practical challenges leaders are seeing as AI becomes part of the development lifecycle.
We’ll discuss:
- Reliability and business continuity — As development, deployments, and AI workflows become more connected, interruptions can have a broader impact than they once did. How are organizations thinking about resilience across these workflows?
- Moving AI from experimentation into the enterprise — As teams explore new use cases, questions around scale, data sensitivity, access, and governance become increasingly important. What approaches are proving effective?
- Security and compliance in the flow of work — Organizations are looking for ways to maintain appropriate oversight without creating unnecessary friction for development teams. Where are security and compliance practices evolving?
- Managing complexity as teams scale — More tools and more handoffs can create additional operational overhead. How are organizations simplifying the path from code to production while still supporting the needs of different teams?
