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AWS re:Invent 2025 - What's new with Amazon S3 (STG206)
AWS re:Invent 2025 - What's new with Amazon SageMaker in the era of unified data and AI (ANT216)
AWS re:Invent 2025 - Using graphs over your data lake to power generative AI applications (DAT447)
AWS re:Invent 2025 - Streamline AI model development lifecycle with Amazon SageMaker AI (AIM364)
AWS re:Invent 2025 - Turn unstructured data in Amazon S3 into AI-ready assets with SageMaker Catalog
AWS re:Invent 2025 - Inside S3: Lessons from exabyte-scale data lake modernization (STG351)
From AWS re:Invent to She Builds: Architecting vector-driven AI applications with Amazon S3 Vectors
AWS re:Invent 2025 - Agentic data engineering with AWS Analytics MCP Servers (ANT335)
AWS re:Invent 2025 - Introducing AI driven development lifecycle (AI-DLC) (DVT214)
AWS re:Invent 2025 - Novartis's next-gen clinical platform enables AI drug development (SPS314)
AWS re:Invent 2024 - Build and optimize a data lake on Amazon S3 (STG323)
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Last Updated: October 4, 2026
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Summary
Organizations running critical analytics on Apache Iceberg need multi-Region replication for compliance, business continuity, In this session, learn about new In this session, we will introduce Dive deep into how Novartis architected their regulated NextGen clinical trial Organizations are building petabyte-scale
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