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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning Blog

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. FMs are transforming the way you can solve traditionally complex document processing workloads.

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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. AWS AI and machine learning (ML) services help address these concerns within the industry. At AWS, security is our top priority.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning Blog

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using the AWS tools without having to manage any infrastructure. You will be given two documents to compare.

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How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning Blog

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions made while building workloads on AWS.

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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

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

For instance, according to International Data Corporation (IDC), the world’s data volume is expected to increase tenfold by 2025, with unstructured data accounting for a significant portion. Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by Machine Learning (AWS).

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