Template-based data extraction is dead. Here’s what comes next.
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Amazon Bedrock Data Automation (BDA) is a fully managed AWS service that uses foundation models to extract, classify, and transform unstructured content from documents, images, audio, and video into structured data. Unlike brittle template-based systems, BDA supports standard outputs for common use cases and custom blueprints for schema-defined extraction. A walkthrough covers creating projects via the console, configuring standard and custom outputs, and using the Python boto3 SDK to create blueprints, invoke async jobs, and poll for results. BDA supports five core automation types: classification, extraction, transformation, normalization, and validation, with use cases spanning financial services, insurance, HR/legal, customer support, and compliance.
