Amazon SageMaker Catalog adds AI recommendations for descriptions of custom assets
News
Amazon SageMaker Catalog has introduced AI-powered recommendations for generating descriptions of custom structured assets, enhancing metadata management across various data sources.
- Supports AI-generated descriptions for custom assets like Iceberg tables and third-party datasets
- Utilizes large language models (LLMs) via Amazon Bedrock to create descriptions
- Enables users to generate, review, and publish asset metadata with minimal effort
- Improves metadata consistency and asset discoverability
- Reduces manual documentation work for organizations
The new feature builds on existing automated metadata capabilities and provides an easy way to generate business-friendly descriptions for various data assets.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jul 2
2025
2025
Amazon SageMaker Catalog adds AI recommendations for descriptions of custom assets
Jul 1
2025
2025
Introducing GenAI-powered business description recommendations for custom assets in Amazon SageMaker Catalog
Dec 1
2025
2025
Amazon SageMaker Catalog provides automatic data classification using AI agents
Nov 19
2025
2025
Amazon SageMaker Catalog enforces metadata rules for glossary terms for asset publishing
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.