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Streamline financial workflows with generative AI for email automation

AWS Machine Learning Blog

This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. There may occasionally be different sorts of documents and no automatic method for identifying and categorizing them.

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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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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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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases. marketing materials, newspaper clips, and the list goes on.

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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.