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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

IDP 84
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How To Use AI To Automate Document Processing

Topbots

Artificial intelligence (AI) is a game-changer in the automation of these mundane tasks. By leveraging AI, organizations can automate the extraction and interpretation of information from documents to focus more on their core activities. Initially, businesses relied on basic automation tools that could only perform simple tasks.

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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

The traditional approach of using human reviewers to extract the data is time-consuming, error-prone, and not scalable. In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. Name==`InvoiceProcessorWorkflow-CognitoUserPoolId`].Value'

IDP 90
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Automate document validation and fraud detection in the mortgage underwriting process using AWS AI services: Part 1

AWS Machine Learning Blog

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Again, the manual consumer lending process has some advantages, such as approving a loan that requires human judgment.

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Build well-architected IDP solutions with a custom lens – Part 3: Reliability

AWS Machine Learning Blog

The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build a secure, efficient, and reliable IDP solution on AWS. This post focuses on the Reliability pillar of the IDP solution.

IDP 81
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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

The postprocessing component uses bounding box metadata from Amazon Textract for intelligent data extraction. The postprocessing component is capable of extracting data from complex, multi-format, multi-page PDF files with varying headers, footers, footnotes, and multi-column data.

ML 69
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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

While the industry has been able to achieve some amount of automation through traditional OCR tools, these methods have proven to be brittle, expensive to maintain, and add to technical debt. The following diagram is how we visualize these IDP phases. It often involves manual labor taking time away from critical activities.

IDP 98