AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (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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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. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

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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 Engineering Prompt Engineer 131

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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AWS Machine Learning Blog

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. can process scanned PDFs without manual review. With the integration of AI-driven capabilities, using AWS AI/ML services, their innovative solution SmartScan.ai

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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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AWS Machine Learning Blog

JANUARY 8, 2024

However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline.

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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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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. Users can make predictions with health data using Amazon SageMaker ML models. For more information, refer to How do I turn on HealthLake’s integrated natural language processing feature.

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AWS Machine Learning Blog

FEBRUARY 14, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Hemalatha Katari is a Solution Architect at Accenture.

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Chatbots AI Chatbots Metadata IDP 91