Building RAGs in regulated environments and AI-Augmented Development at Scale

Join us on 5 March 2026 for the first AI and Data Engineering Meetup of the year, an insightful evening exploring the realities of AI in production. Jun Xu will talk about, “RAG in Production: Dead End or Long-Term Foundation?” He will share real-world lessons on enterprise RAG, governance, retrieval quality, GraphRAG, agentic RAG, and the realities of scaling GenAI in regulated environments.

Then, Michael Isvy will dive into “AI-Augmented Development at Scale,” demonstrating how to make GitHub Copilot and MCP-powered workflows work effectively on complex legacy codebases, from handling oversized contexts to intelligently breaking down refactoring tasks.
If you’re building or scaling AI systems in the enterprise, don’t miss it!!
Register here