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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IDP Auto-classification Machine Learning Auto-complete 97

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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IDP Natural Language Processing Machine Learning Software Engineer 74

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

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IDP LLM Large Language Models Data Science 98

AWS Machine Learning Blog

JUNE 12, 2024

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The Anthropic Claude 3 Haiku model then processes the documents and returns the desired information, streamlining the entire workflow.

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IDP NLP Natural Language Processing Generative AI 122

AWS Machine Learning Blog

JUNE 18, 2024

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

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Automation IDP Generative AI Data Extraction 113

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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IDP LLM Automation Generative AI 83

Topbots

APRIL 4, 2024

Document processing is an essential yet time-consuming activity in many businesses. Every day, countless hours are spent on sorting, filing, and searching for documents. By leveraging AI, organizations can automate the extraction and interpretation of information from documents to focus more on their core activities.

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Automation IDP NLP Natural Language Processing 59

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). Supported document types Amazon Q boasts impressive versatility, supporting a wide range of document types stored at various places in your environment, including Windows Share (FSX for Windows File Server).

Generative AI 70

Generative AI ML Engineer NLP IDP 70

AWS Machine Learning Blog

JUNE 26, 2024

This is because trades involve different counterparties and there is a high degree of variation among documents containing commercial terms (such as trade date, value date, and counterparties). Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents.

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Automation IDP ML AI 104

AWS Machine Learning Blog

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. Designed with client-level isolation at the document level, MDaudit customers start by uploading their ADR documents via a web portal to Amazon Simple Storage Service (Amazon S3).

IDP 116

IDP Machine Learning Natural Language Processing Automation 116

AWS Machine Learning Blog

MAY 9, 2023

An estimated 80% of data within organizations is considered to be unstructured or “dark” data that is locked inside text, emails, PDFs, and scanned documents. For our solution, we process a small sample of documents through Amazon Textract and load that extracted data as appropriate FHIR resources in Amazon HealthLake.

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Natural Language Processing IDP NLP Metadata 80

AWS Machine Learning Blog

MARCH 29, 2023

Even though evaluations are guided by the UNDP Evaluation Guideline, there is no standard written format for these evaluations, and the aforementioned sections may occur at different locations in the document, or not all of them may exist. Amazon Textract is used to extract data from PDF documents.

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ML Metadata Data Ingestion Data Extraction 79

AWS Machine Learning Blog

NOVEMBER 13, 2024

The market size for multilingual content extraction and the gathering of relevant insights from unstructured documents (such as images, forms, and receipts) for information processing is rapidly increasing. These languages might not be supported out of the box by existing document extraction software.

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IDP Machine Learning Python ML 91

AWS Machine Learning Blog

OCTOBER 23, 2024

This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface. The IDP solution uses the power of LLMs to automate tedious document-centric processes, freeing up your team for higher-value work.

Generative AI 74

Generative AI IDP LLM Automation 74