AWS Machine Learning Blog

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. This is where IDP on AWS comes in. However, you can extend these constructs for any form type.

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AWS Machine Learning Blog

JUNE 18, 2024

This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. Amazon Comprehend can automatically classify and extract insights from text, which also provides NLP capabilities.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Automate intelligent document processing (IDP) – Agent Creator can extract valuable data from invoices, purchase orders, resumes, insurance claims, loan applications, and other unstructured sources automatically. The IDP solution uses the power of LLMs to automate tedious document-centric processes, freeing up your team for higher-value work.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). To learn more about Step Functions, see Building machine learning workflows with Amazon SageMaker Processing jobs and AWS Step Functions.

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AWS Machine Learning Blog

OCTOBER 24, 2023

Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.

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IDP LLM Prompt Engineer Prompt Engineering 133

AWS Machine Learning Blog

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. Using Amazon Textract for optical character recognition (OCR) to convert text images into machine-readable text, MDaudits’s SmartScan.ai can process scanned PDFs without manual review.

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. Using IDP can reduce or eliminate the requirement for time-consuming human reviews.

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ODSC - Open Data Science

OCTOBER 27, 2023

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases. marketing materials, newspaper clips, and the list goes on.

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IDP LLM Large Language Models Data Science 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

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 natural language processing (NLP).

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Generative AI ML Engineer NLP IDP 72

AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

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Topbots

APRIL 4, 2024

In the past, Optical Character Recognition (OCR) and Natural Language Processing (NLP) were the main technologies used for document automation. OCR converts images of text into machine-encoded text, while NLP helps the system understand and interpret human language. IDP steps up the game. LLMs are like language wizards.

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AWS Machine Learning Blog

JUNE 12, 2024

By using the advanced natural language processing (NLP) capabilities of Anthropic Claude 3 Haiku, our intelligent document processing (IDP) solution can extract valuable data directly from images, eliminating the need for complex postprocessing. As next steps, check out What is Amazon Bedrock to start using the service.

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AWS Machine Learning Blog

MAY 9, 2023

The following diagram shows the workflow to migrate unstructured data into FHIR for AI and machine learning (ML) analysis in Amazon HealthLake. The following screenshot shows the integrated analysis with Amazon Comprehend Medical and NLP enabled. The document upload in Amazon S3 triggers an AWS Lambda function.

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AWS Machine Learning Blog

MARCH 29, 2023

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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