This video from AWS re:Invent 2023 explores best practices for analytics and generative AI on AWS. Presenters Imtiaz (Taz) and Harshida Patel discuss how data analytics enables generative AI use cases, sharing cost and performance recommendations for designing data pipeline architectures. They cover key AWS services like Glue, EMR, Redshift, and OpenSearch, explaining how to optimize data ingestion, processing, storage and querying. The speakers emphasize the importance of data quality, governance, and security when implementing generative AI solutions. They provide insights on leveraging serverless and managed services, data sharing techniques, and vector databases to build scalable, reliable analytics pipelines that power AI applications. The session includes a demo architecture showcasing how various AWS analytics services can be integrated to support generative AI workflow.