Jan 16
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Observability is the foundation of modern systems, but in the AI era, it isn’t the finish line. Watch as we debut ARI (Autonomous Reliability Insights), an AI agent designed to bridge the gap between seeing an issue and reliably fixing it. In this webinar, InsightFinder’s leadership explains how to move beyond basic telemetry into continuous improvement workflows. Learn how to turn production incidents into learning loops that fine-tune your models and harden your systems against future outages. 🔗 GET STARTED FOR FREE Sign up and start improving your reliability: https://app.insightfinder.com/ 📍 TIMESTAMPS 0:00 - Introduction and Webinar Housekeeping 2:03 - Meet the Hosts: George Miranda & Dr. Helen Gu 4:15 - Why Observability is Just the Foundation for AI 6:04 - The Challenge of Diagnosis in Complex AI Systems 8:08 - Why Human-Only Data Analysis is Failing at Scale 11:54 - Are AI Agents the "New Cloud"? (AWS Re:Invent Insights) 17:54 - Introducing ARI: Your Autonomous Reliability Agent 19:54 - How ARI Automates the Level 0 Support Workflow 31:27 - Learning from Production Reality: The McDonald's AI Lesson 34:54 - Closing the Loop: How AI Learns from Its Own Mistakes 42:16 - LIVE DEMO: From Error Detection to Model Fine-Tuning 50:26 - Live Q&A: Protecting Against Model Regression 👋 CONNECT WITH US LinkedIn: https://www.linkedin.com/company/insightfinder-inc. Website: https://insightfinder.com/ RESOURCES MENTIONED O'Reilly Book: Observability Engineering by Charity Majors, Liz Fong-Jones, and George Miranda. Research: Dr. Helen Gu’s work on Neural Networks for system prediction (2001). #AI #SRE #Observability #DevOps #AIAgents #InsightFinder