Document Generative AI IDP 
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.
AWS Machine Learning Blog
OCTOBER 24, 2023
In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.
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AWS Machine Learning Blog
APRIL 11, 2024
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.
AWS Machine Learning Blog
AUGUST 3, 2023
Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. Generative AI is driven by large ML models called foundation models (FMs).
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.
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.
AWS Machine Learning Blog
APRIL 30, 2024
The success of these applications depends on two key factors: first, that an end-user of the application is only able to see responses generated from documents they have been granted access to, and second, that each user’s conversation history is private, secure, and accessible only to the user.
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