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

AWS Machine Learning Blog

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. billion in 2025 to USD 66.68

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning Blog

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

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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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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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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Whether your HR department needs a Q&A workflow for employee benefits, your legal team needs a contract redlining solution, or your analysts need a research report analysis engine, Agent Creator provides the tools and flexibility to build it all. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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Intelligent document processing using Amazon Bedrock and Anthropic Claude

AWS Machine Learning Blog

Enterprise customers can unlock significant value by harnessing the power of intelligent document processing (IDP) augmented with generative AI. By infusing IDP solutions with generative AI capabilities, organizations can revolutionize their document processing workflows, achieving exceptional levels of automation and reliability.

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London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services

Flipboard

Integration and testing : The application was secured using a third-party identity provider (IdP) as the IdP for identity and access management to manage users with their enterprise IdP and used AWS Identity and Access Management (IAM) to authenticate users when they signed in to Amazon Q Business.

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