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Intelligent Document Processing with Azure Form Recognizer

Analytics Vidhya

Introduction Intelligent document processing (IDP) is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract information from unstructured documents such as invoices, receipts, and forms.

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Beyond “Prompt and Pray”

O'Reilly on Data

AI systems promise seamless conversations, intelligent agents, and effortless integration. Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation. But look closely and chaos emerges: a false paradise all along.

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How intelligent document processing automates content-intensive processes

CIO Business Intelligence

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises.

Insurance 122
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5 Benefits intelligent document processing brings to content management

CIO Business Intelligence

As explained in a previous post , with the advent of AI-based tools and intelligent document processing (IDP) systems, ECM tools can now go further by automating many processes that were once completely manual. An ML IDP model can be trained to identify each type of document and route it to the appropriate department.

Insurance 116
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Best Practices for Modern Records Management and Retention

Speaker: Sean Baird, Director of Product Marketing at Nuxeo

Documents are at the heart of many business processes. Exploding volumes of new documents, growing and changing regulatory requirements, and inconsistencies with manual, labor-intensive classification requirements prevent organizations from consistent retention practices.

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Enhancing Scientific Document Processing with Nougat

Analytics Vidhya

Introduction In the ever-evolving field of natural language processing and artificial intelligence, the ability to extract valuable insights from unstructured data sources, like scientific PDFs, has become increasingly critical.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

Whereas robotic process automation (RPA) aims to automate tasks and improve process orchestration, AI agents backed by the companys proprietary data may rewire workflows, scale operations, and improve contextually specific decision-making.