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Learn how metadata catalogs serve as the foundational context layer for powering and governing modern AI development initiatives in this 32-minute conference talk. Explore the critical role that data catalogs play in providing structure, governance, and contextual understanding necessary for effective AI model training and deployment. Discover how metadata management becomes essential for maintaining data lineage, ensuring compliance, and enabling scalable AI operations across enterprise environments. Examine practical approaches to leveraging catalog systems as the backbone for AI governance frameworks, including strategies for metadata organization, quality assurance, and regulatory compliance. Gain insights into how proper cataloging infrastructure can accelerate AI development cycles while maintaining necessary oversight and control mechanisms for responsible AI implementation.
