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Explore how to effectively integrate human-in-the-loop (HITL) processes into your MLOps pipelines in this 20-minute conference talk from the MLOps World GenAI Summit 2025. Learn why human oversight remains essential for quality and trust in generative AI systems, even as automated metrics become more sophisticated. Discover practical strategies for incorporating HITL into monitoring, evaluation, and feedback processes at scale without creating operational bottlenecks. Master techniques for efficiently engaging subject-matter experts while reducing drag on development teams, and understand how to prioritize and act on the most critical human feedback data. Gain insights into real-world approaches for embedding human oversight into existing MLOps infrastructure to ensure trustworthy AI deployment in production environments. Whether you work as a data scientist, ML engineer, or MLOps practitioner, acquire a hands-on roadmap for balancing automation with the human judgment necessary to make generative AI systems reliable and contextually appropriate in real-world applications.
