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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. personal or cashier’s checks), financial institution and country (e.g.,

APIs 105
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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. What if there was a way to process documents intelligently and make them searchable in with high accuracy?

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Customize business rules for intelligent document processing with human review and BI visualization

AWS Machine Learning

A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents.

APIs 82
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS.

APIs 96
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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

With a suite of tools ranging from Enlighten Actions to Autopilot and beyond, NICE CXone is setting a new standard for what businesses can expect from their customer service technology. Enlighten Auto Summary automates these tasks, integrating with various CRMs to provide concise, accurate summaries of customer interactions.

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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

Using architecture diagrams as an example, the solution needs to search through reference links and technical documents for architecture diagrams and identify the services present. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

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 entities or phrases. This IDP Well-Architected Custom Lens provides you the guidance to tackle the common challenges we see in the field.

APIs 86