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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. Financial institutions use IDP to automate tax forms and fraud detection , while healthcare providers streamline claims processing and medical record digitization. billion in 2025 to USD 66.68

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Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

AWS Machine Learning Blog

If you want to use Amazon Q Business to build enterprise generative AI applications, and have yet to adopt organization-wide use of AWS IAM Identity Center , you can use Amazon Q Business IAM Federation to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or Ping Identity.

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Build a generative AI enabled virtual IT troubleshooting assistant using Amazon Q Business

AWS Machine Learning Blog

When you initiate a sync, Amazon Q will crawl the data source to extract relevant documents, then sync them to the Amazon Q index, making them searchable After syncing data sources, you can configure the metadata controls in Amazon Q Business. An Amazon Q Business index has fields that you can map your document attributes to.

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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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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. You can build a segmented access solution on top of a knowledge base using metadata and filtering feature.

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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.

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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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