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Explore the strategic transition from MLOps to GenAIOps through comprehensive data governance frameworks in this 30-minute conference talk from AWS Summit Sydney 2025. Discover how generative AI's unique challenges are fundamentally reshaping approaches to data and model management, requiring new governance strategies beyond traditional machine learning operations. Learn to leverage Amazon SageMaker for streamlining MLOps workflows while simultaneously enhancing data and model governance practices essential for generative AI applications. Master the implementation of robust data lineage tracking, effective model version control systems, and comprehensive access management protocols specifically designed for the generative AI context. Gain practical insights from AWS experts Derrick Choo, Senior Solutions Architect, and Ram Vittal, Principal WW GenAI/ML SA, as they guide you through building a comprehensive governance framework that ensures both responsible and efficient generative AI development on the AWS platform, addressing the critical intersection of operational excellence and ethical AI deployment.
