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Gartner predicts that by 2027, 40% of generativeAI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. billion in 2025 to USD 66.68 billion by 2032 with a CAGR of 30.1 %.
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. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.
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. This post explores how generativeAI can make working with business documents and email attachments more straightforward.
AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. GenerativeAI is driven by large ML models called foundation models (FMs).
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Categorizing documents is an important first step in IDP systems. For optimal performance, you should customize the solution to your specific use case and existing IDP pipeline setup.
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.
GenerativeAI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. GenerativeAI foundation models (FMs), with their ability to understand context and make decisions, are becoming powerful partners in solving sophisticated business problems.
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.
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