Improve the discoverability of your unstructured data in Amazon SageMaker Catalog using generative AI

This article demonstrates how to make unstructured data discoverable in Amazon SageMaker Catalog using generative AI and automated processing.

• Use Amazon Textract to extract text from PDFs, images, and documents automatically
• Leverage Amazon Bedrock with Claude AI to generate business context and summaries
• Create glossary terms to classify data as sensitive or non-sensitive for governance
• Enrich metadata automatically and publish assets to SageMaker Catalog
• Enable semantic search across unstructured data using business terminology
• Solution uses SageMaker Unified Studio notebooks for end-to-end document processing pipeline
• Includes step-by-step deployment guide with sample datasets and IAM permissions

The post shows how combining Textract, Bedrock, and SageMaker Catalog transforms unstructured documents into governed, searchable business assets within a secure framework.