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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. Building a production-ready IDP solution in the cloud requires a series of trade-offs between cost, availability, processing speed, and sustainability.

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Secure a generative AI assistant with OWASP Top 10 mitigation

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This is typically done through some sort of an identity provider (IdP) capability like Okta, AWS IAM Identity Center , or Amazon Cognito. This comprehensive security setup addresses LLM10:2025 Unbound Consumption and LLM02:2025 Sensitive Information Disclosure, making sure that applications remain both resilient and secure.

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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 post focuses on the Performance Efficiency pillar of the IDP workload.

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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. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.

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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. The AI assistant provides answers along with links that point directly to the data sources. See the Amazon Q Business pricing page for more information.

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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

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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