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Explore a conference talk that challenges traditional software deployment approaches for AI systems and introduces a revolutionary framework for managing artificial intelligence in production. Learn why conventional CI/CD pipelines fail when applied to AI systems that exhibit non-deterministic behavior and autonomous decision-making capabilities. Discover the Continuous Calibration / Continuous Development (CC/CD) framework, a groundbreaking methodology developed through insights from over 50 real-world AI deployments that addresses the unique challenges of building and scaling unpredictable AI products. Understand how to transition from low-agency, high-control AI setups to more autonomous systems while maintaining reliability and trust through systematic calibration processes. Master the art of scoping AI capabilities and designing meaningful evaluation metrics that accurately assess system performance in dynamic environments. Gain practical knowledge on monitoring AI behavior in production environments, preventing model drift, and implementing behavioral safeguards that ensure consistent performance. Acquire a comprehensive blueprint for managing AI's inherent uncertainty through strategic eval design, continuous behavioral monitoring, and systematic trust calibration methodologies. Learn proven strategies for scaling AI autonomy without sacrificing control, enabling organizations to safely deploy more sophisticated AI systems while maintaining operational oversight and risk management.
