AI Agents Seattle November

This month we are hosting one of our favorite speakers Jim Bennett (Arize AI) with a terrific talk on self improving agent loop. But that's not all, we are also stoked that our attendees Madhusudhan Gurramkonda and Shipra Sonal (both from Amazon) got inspired by previous AI Agents meetups and are going to share their experience moving an analytics team from ad-hoc SQL to agentic AI! Self-improving agentic loops by Jim Bennett Developers are embracing AI coding tools, and AI code review tools. AI engineers are also embracing AI observability and evaluations to discover issues in their agents. Putting this all together, means the next logical step is self improving AI agents that can discover bugs and automatically fix them. This session covers just that. We will take an AI app, add observability and evals to detect issues, then show how that can be connected up to a coding agent to build the full cycle, raising PRs to fix these issues as they are discovered. Bio Jim is the worlds most energetic dev rel and a highly-experienced AI engineer. He’s British, so sounds way smarter than he actually is, and lives in the Pacific North West of the USA. In the past he’s lived in 4 continents working as a developer in the mobile, desktop, and scientific space. He's spoken at conferences and events all around the globe, organised meetup groups and communities, and written books on mobile development and IoT. He is currently a Microsoft MVP for AI and Developer Tools. He also hates and is allergic to cats, but has a 13-year-old who loves cats, so he has 2 cats. How to Move a Data Team to Agentic AI by Madhusudhan Gurramkonda and Shipra Sonal Most data teams still answer questions one ad-hoc SQL request at a time. This talk walks through how an analytics team can move from ad-hoc SQL to agentic AI, in the order that worked for us: The platform in infrastructure as code, with a curated document beside every table, so agents and engineers read the same source of truth. One command-li