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Explore how financial institutions transform fragmented data landscapes into unified AI-powered platforms using Amazon SageMaker Unified Studio in this conference talk from AWS re:Invent 2025. Discover domain-driven architecture patterns, automated governance frameworks, and enterprise implementation lessons specifically tailored for the financial sector. Dive deep into multi-account domain strategies, comprehensive data governance approaches, data-as-a-product methodologies, and cross-domain consumption patterns that enable seamless data integration across organizational boundaries. Learn how to transition smoothly from data preparation to AI/ML experimentation, unlocking new business value through advanced machine learning capabilities. Understand how Amazon SageMaker Unified Studio enables true data marketplace capabilities with integrated ML workflows, feature stores, and robust model governance while maintaining banking-grade security throughout the complete analytics-to-AI lifecycle. Gain practical insights into implementing enterprise-scale data mesh architectures that support both traditional analytics and modern AI initiatives in highly regulated environments.
