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Here is where AI-powered intelligent document processing (IDP) is changing the game. In this blog, we’ll explore what IDP is, how fraud is detected using AI, and the industries in which it can be applied. What is intelligent document processing & how does AI improve fraud detection?
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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.
When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. The IDP Well-Architected Custom Lens in the Well-Architected Tool contains questions regarding each of the pillars.
An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and naturallanguageprocessing (NLP) to read and understand a document and extract specific terms or words. This post focuses on the Cost Optimization pillar of the IDP solution.
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Amazon Q Business is designed to be secure and private, seamlessly integrating with your existing identity provider (IdP). In this post, we walk you through the process of integrating Amazon Q Business with FSx for Windows File Server to extract meaningful insights from your file system using naturallanguageprocessing (NLP).
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Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Naturallanguageprocessing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.
For more information, refer to How do I turn on HealthLake’s integrated naturallanguageprocessing feature. The following screenshot shows the integrated analysis with Amazon Comprehend Medical and NLP enabled. To enable it, submit a support case with your account ID, AWS Region, and Amazon HealthLake data store ARN.
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