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

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. This post focuses on the Sustainability pillar of the IDP custom lens.

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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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Unite.AI

APRIL 3, 2024

This strategy was adopted by global brewery group Carlsberg, who saved over 140 hours of work per month using intelligent document processing (IDP). Powered by purpose-built AI, Carlsberg achieved a touchless order processing rate of 92%, accelerating deliveries and increasing customer satisfaction.

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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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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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AWS Machine Learning Blog

DECEMBER 18, 2024

When you use identity federation, you can manage users with your enterprise identity provider (IdP) and use IAM to authenticate users when they sign in to Amazon Q Business. By using natural language processing capabilities, enterprises can streamline operations, enhance user productivity, and deliver better customer experiences.

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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

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

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

Now, AI has evolved to understand and process complex document structures, making it an indispensable tool in modern business environments. In the past, Optical Character Recognition (OCR) and Natural Language Processing (NLP) were the main technologies used for document automation. IDP steps up the game.

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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. For more information, refer to How do I turn on HealthLake’s integrated natural language processing feature. Refer to the GitHub repo for more deployment details.

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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.

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Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

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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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AWS Machine Learning Blog

DECEMBER 17, 2024

In this post, we demonstrate how to use Amazon Bedrock Data Automation in the AWS Management Console and the AWS SDK for Python (Boto3) for media analysis and intelligent document processing (IDP) workflows.

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