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This session explores how Amazon SageMaker Unified Studio enables organizations to leverage their data for both analytics and AI applications through a single integrated environment. Discover how data teams can securely collaborate, discover, and prepare shared datasets to build analytics and generative AI applications more efficiently. The presentation demonstrates how this unified approach accelerates the journey from data to value, addressing the strategic imperative of building a strong data foundation for AI initiatives. Learn about practical workflows that help teams work together more effectively on shared datasets, turning the same data that powers analytics into the foundation for machine learning models.
