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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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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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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. By default, Amazon Bedrock encrypts all knowledge base-related data using an AWS managed key. Alternatively, you can choose to use a customer managed key.

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

AWS Machine Learning Blog

Automate intelligent document processing (IDP) – Agent Creator can extract valuable data from invoices, purchase orders, resumes, insurance claims, loan applications, and other unstructured sources automatically. Observability – Robust mechanisms are in place for handling errors during data processing or model inference.

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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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