Amazon SageMaker demo: Automated metadata recommendations | Amazon Web Services

Discover how AI-powered automation transforms technical data assets into business-friendly resources in Amazon SageMaker Unified Studio. In this demo, learn how to generate business descriptions, glossary terms, and metadata for your data assets. Learn how to leverage AI-powered automation to create business-friendly names and descriptions, annotate attributes with business context, and review and accept automated metadata recommendations. SageMaker Unified Studio automates metadata curation to improve data discoverability, ensure consistency, and enable self-service analytics across your organization. Whether you're implementing data governance, building a data mesh, or managing large-scale data assets, this demo shows how to bridge the gap between technical data and business context. Learn more about Amazon SageMaker: https://go.aws/4h7wV2i Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #AmazonWebServices #CloudComputing