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Learn about the major enhancements in MLflow 3.0 in this 30-minute conference talk from MLOps.community. Discover how Databricks engineers Eric Peter and Corey Zumar address the critical need for accountability in generative AI systems by introducing new structure, monitoring capabilities, and intelligent agents. Explore the latest features designed to maintain transparency and reliability in AI deployments, moving beyond the hype to focus on practical solutions for production machine learning systems. Gain insights from Peter's product management expertise in enterprise ML tools and Zumar's four years of hands-on experience developing MLflow's machine learning infrastructure and APIs at Databricks.
