Amazon Textract

Headlines · 2

1. 5d
   Build self-improving document processing with Amazon Bedrock AgentCore

   AWS published a technical guide for building an agentic intelligent document processing (IDP) system on Amazon Bedrock AgentCore, in which eight specialized agents collaborate across two graph workflows built with the open-source Strands Agents SDK. A new document type goes through a training workflow — an Analyzer extracts text with Amazon Textract, a Matcher searches Amazon S3 Vectors, an Instructions agent generates extraction prompts, an Extractor produces structured JSON and a Validator checks it against schemas and business rules in Amazon Aurora DSQL — while documents matching a known layout skip prompt generation in an automation workflow. In the sample purchase-order scenario, the first run took 3 minutes 49 seconds and a repeat document took 1 minute 30 seconds, and AWS estimates about $58 per month for 10 training plus 1,000 processed documents in US East (N. Virginia), with model inference roughly 85 percent of that cost. AWS cites IDC figures that document-related challenges cost organizations $19,732 per information worker annually and cut productivity by 21.3 percent.

   AWS Machine Learning Blog · 🔥 0
2. Oct 6
   AWS explains ISO/IEC 42005:2025 AI impact assessment guidance

   AWS published a post on how organizations can use the ISO/IEC 42005:2025 standard to run AI system impact assessments and fold them into existing enterprise risk, privacy and security reviews. It covers the standard's guidance on when to assess, lightweight triage, required documentation and reassessment triggers, plus Annex D for integrating existing assessments without duplication and Annex E for a standalone template. AWS also points to its Well-Architected Responsible AI Lens and its ISO/IEC 42001 implementation guide, and says Amazon Bedrock, Amazon Q Business, Amazon Transcribe and Amazon Textract hold ISO/IEC 42001 certification.

   AWS Machine Learning Blog · 🔥 0

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