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Learn how to transform unstructured data stored in Amazon S3 into valuable AI-ready assets using Amazon SageMaker in this 55-minute conference talk from AWS re:Invent 2025. Discover techniques for bringing unstructured data from S3 into SageMaker, creating searchable assets, and building knowledge bases for Amazon Bedrock to enhance retrieval-augmented generation (RAG) accuracy. Explore how teams can collaborate effectively across different roles while enabling data users to self-serve in finding and understanding relevant data, all while maintaining proper governance to ensure appropriate access controls. Gain insights from Bayer's real-world implementation of these capabilities to unlock unstructured data value and accelerate research and innovation processes. Master the integration between Amazon S3, SageMaker Catalog, and Amazon Bedrock to create a comprehensive data pipeline that transforms raw unstructured information into actionable AI assets for your organization.
