Applying Chaos Engineering to ML & Gen AI Workloads with Jenn Bergstrom

Join Jenn Bergstrom and the vBrownBag crew for a deep dive into chaos engineering for machine learning and AI models. Discover how deliberate failure injection can improve system resilience, explore real-world experiments on AI model vulnerabilities, and learn why testing for failure is critical in today’s fast-moving AI landscape. Whether you’re an engineer, data scientist, or tech leader, this conversation is packed with practical insights, cautionary tales, and a touch of humor. #ChaosEngineering #MachineLearning #AI #vBrownBag #AIOps #ModelResilience #TechTalk Chapters: 00:00 – Introduction & vBrownBag Welcome 02:45 – What Is Chaos Engineering? 10:45 – Netflix, Chaos Monkey, and the Origins 16:40 – Chaos Engineering for AI & ML Models 27:00 – Non-Determinism in LLMs and Testing Challenges 46:00 – Organizational Adoption & Q&A Resources: https://www.linkedin.com/in/jenn-bergstrom/ https://amzn.to/44JBw5D - "Security Chaos Engineering: Sustaining Resilience in Software and Systems" https://amzn.to/4l3fFMi - "Chaos Engineering: Site reliability through controlled disruption" https://amzn.to/4kiqY1W - "Chaos Engineering: System Resiliency in Practice" https://netflix.github.io/chaosmonkey/