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Empower your business use cases

Talkat Conf42 Machine Learning 2021 · on Thursday, 2021-07-29· [machine-learning]
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A working Document Understanding Solution assembles Amazon Textract for OCR and table-to-CSV extraction, Amazon Comprehend Medical for medical-entity detection and PHI redaction, and Amazon Kendra for semantic search compared against Elasticsearch keyword results. The demo shows redaction, table export, and a human-review loop via Amazon Augmented AI with a configurable confidence threshold (example: send <90% to review). The stack deploys via CloudFormation/CDK, uses S3, Lambda, DynamoDB, Cognito and CloudFront, is open source, and targets hundreds of thousands of documents.

AI-written summary · about

  1. 0:00Introduction
  2. 1:36Document processing challenges
  3. 3:05AWS AI services for documents
  4. 5:29Amazon Textract and Comprehend deep dive
  5. 8:25Amazon Comprehend Medical
  6. 9:31Amazon Kendra for search
  7. 10:34Human review with Augmented AI
  8. 15:05Document Understanding architecture
  9. 16:07Live demo of solution
  10. 21:58Key features and deployment
  11. 24:28How to get started with the solution
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