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Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

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.

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

AWS Machine Learning Blog

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. The IDP Well-Architected Custom Lens in the Well-Architected Tool contains questions regarding each of the pillars. This means the system lacks visibility into logs and failures.

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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning Blog

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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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

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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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning Blog

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. compliant identity provider (IdP) configured in the same AWS Region as your Amazon Q Business application. AWS IAM Identity Center as the SAML 2.0-compliant

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

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.