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Data lakes and lakehouses have found a new purpose in AI beyond traditional analytics and data warehousing. Modern data lakes are built on object storage infrastructure and use industry-standard data formats to ensure interoperability. The transactional infrastructure capabilities of data lakehouses also support AI workflows natively, including data pipeline processing, inference workloads and context memory serving. Speakers from MinIO, AMD and Supermicro discuss the changing roles of data lakes and lakehouses.