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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning Blog

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. In this post, we share how to enhance your IDP solution on AWS with generative AI.

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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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Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

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With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler. Solution overview In the following sections, we provide steps for an administrator to set up the IdP, Snowflake, and Studio. Provide the users within the IdP access to Data Wrangler.

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

AWS Machine Learning Blog

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Categorizing documents is an important first step in IDP systems. For optimal performance, you should customize the solution to your specific use case and existing IDP pipeline setup.

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Automate document validation and fraud detection in the mortgage underwriting process using AWS AI services: Part 1

AWS Machine Learning Blog

We provide concrete guidance on addressing this issue with AWS AI and ML services to detect document tampering, identify and categorize patterns for fraudulent scenarios, and integrate with business-defined rules while minimizing human expertise for fraud detection. In the following sections, we discuss the stages of the process in detail.

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

AWS Machine Learning Blog

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. This dataset has PDF documents categorized into multiple directories based on the type of documents (for example, documents related to AWS database options, security, and ML).

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