Remove Automation Remove Categorization Remove IDP
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Streamline financial workflows with generative AI for email automation

AWS Machine Learning Blog

Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

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

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Data Wrangler simplifies the data preparation and feature engineering process, reducing the time it takes from weeks to minutes by providing a single visual interface for data scientists to select and clean data, create features, and automate data preparation in ML workflows without writing any code. Configure Snowflake.

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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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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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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.

IDP 95
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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

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While the industry has been able to achieve some amount of automation through traditional OCR tools, these methods have proven to be brittle, expensive to maintain, and add to technical debt. The following diagram is how we visualize these IDP phases. It often involves manual labor taking time away from critical activities.

IDP 98
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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

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Again, the manual consumer lending process has some advantages, such as approving a loan that requires human judgment.