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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

You can visualize the indexed metadata using OpenSearch Dashboards. This post uses the Amazon Textract IDP CDK constructs (AWS CDK components to define infrastructure for intelligent document processing (IDP) workflows), which allows you to build use case-specific, customizable IDP workflows. Suprakash Dutta is a Sr.

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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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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning Blog

Amazon Kendra is an intelligent search service powered by machine learning (ML). Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched. In Amazon Kendra, you provide document metadata attributes using custom attributes.

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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning Blog

Most observations are simple name/value pair assertions with some metadata, but some observations group other observations together logically, or could even be multi-component observations. The following diagram shows the workflow to migrate unstructured data into FHIR for AI and machine learning (ML) analysis in Amazon HealthLake.

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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

AWS Machine Learning Blog

Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions that can automate the document classification, and create a cost-effective classification layer capable of handling diverse, unstructured enterprise documents. Categorizing documents is an important first step in IDP systems.

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Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra

AWS Machine Learning Blog

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). If you use an email ID with domain form IDP as the ACL setting, the LDAP server endpoint, search base, LDAP user name, and LDAP password are also required. For this post, we select Full sync. Choose Next.

IDP 76
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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning Blog

Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.

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