Remove Data Extraction Remove IDP Remove Large Language Models
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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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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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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. Data summarization using large language models (LLMs).

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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.

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How To Use AI To Automate Document Processing

Topbots

Switching from the old-school combo of OCR and basic NLP to the smarter duo of Intelligent Document Processing (IDP) and Large Language Models (LLMs) makes handling documents a breeze. IDP steps up the game. LLMs are like language wizards. Capable of processing large batches of files simultaneously.

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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning Blog

The market size for multilingual content extraction and the gathering of relevant insights from unstructured documents (such as images, forms, and receipts) for information processing is rapidly increasing. These languages might not be supported out of the box by existing document extraction software.

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

AWS Machine Learning Blog

Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. Use cases You can use the SnapLogic Agent Creator for many different use cases.