Streamlining Data and AI Workflows with Amazon SageMaker Unified Studio

This 48-minute session explores how Amazon SageMaker Unified Studio creates a single, governed environment that unifies data and AI workflows for analytics and AI development. Discover how this platform consolidates various tools for model development, generative AI application creation, data processing, and SQL analytics, enabling seamless collaboration across teams. Learn to access data from diverse sources including S3 and Redshift, leverage AWS services like EMR, Glue, and Bedrock, and build integrated data pipelines. See real-world examples of how organizations have reduced time to access new tools by up to 50% and accelerated data project delivery by up to 40%. Presented by AWS Principal Analytics Solutions Architect Sandipan Bhaumik and Senior Analytics Solutions Architect Lydia Ray, this comprehensive overview demonstrates how to streamline cloud-based data science and AI development workflows.