🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 9, 2025) Session Title: MLOps for Agents: Bringing the Outer Loop to Autonomous AI Speaker: Hamza Tahir, Co-Founder, ZenML Abstract: While the AI community has been obsessed with prompts, tools, and clever agent behaviors, most of that work lives in the inner loop of development—experimentation. But production-ready AI demands more. In this talk, Hamza Tahir, Co-Founder of ZenML, argues that bringing MLOps principles to agent development is the missing piece in scaling autonomous AI. By applying the outer loop—data collection, training, benchmarking, deployment, and feedback—teams can move beyond prototypes to build reproducible, monitorable, and continuously improving agentic systems. Drawing from his experience building ZenML, Hamza shares practical frameworks and infrastructure patterns that bridge the gap between research and reliable, enterprise-scale deployment—turning AI agents from flashy demos into trustworthy, production-grade systems. What you’ll learn: • Why autonomous agents fail without an MLOps-style “outer loop” • How to apply reproducibility, monitoring, and evaluation to agent development • The role of feedback loops and continuous improvement in agent reliability • Infrastructure patterns for scaling agent systems safely and predictably • How lessons from MLOps pipelines apply to the next era of agentic AI.