AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build a secure, efficient, and reliable IDP solution on AWS. This post focuses on the Reliability pillar of the IDP solution.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

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. This post focuses on the Cost Optimization pillar of the IDP solution.

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AWS Machine Learning Blog

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

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Unite.AI

APRIL 3, 2024

Business leaders who are well-informed on the revolutions in artificial intelligence have already realized that deploying just a foundational model is not versatile enough to fulfill business needs and can even prove a costly, inefficient, and ineffective exercise.

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AWS Machine Learning Blog

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Generative AIpowered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. For more information, see Setting up for Amazon Q Business. See Index types for more information. Choose Next.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. It provides immediate, relevant information while streamlining tasks and accelerating problem-solving. For Role name , enter a name for the role.

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AWS Machine Learning Blog

JUNE 26, 2024

Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. Using IDP can reduce or eliminate the requirement for time-consuming human reviews. IDP has the power to transform the way capital market back-office operations work.

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AWS Machine Learning Blog

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. can process scanned PDFs without manual review. In this post, we discuss MDaudit’s solution to this challenge, the benefits for their customers, and the architecture involved.

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Topbots

APRIL 4, 2024

By leveraging AI, organizations can automate the extraction and interpretation of information from documents to focus more on their core activities. The adoption of AI in document processing not only saves time but also minimizes human error, leading to more accurate and reliable outcomes. IDP steps up the game.

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AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

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AWS Machine Learning Blog

JANUARY 8, 2024

However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. Refer to Block for more information on blocks. His focus is natural language processing and computer vision.

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AWS Machine Learning Blog

MAY 9, 2023

We explain how to extract information from customer clinical data charts using Amazon Textract , then use the raw extracted text to identify discrete data elements using Amazon Comprehend Medical. A common scenario where this information is captured is during the history-taking process in the course of a patient visit or stay.

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AWS Machine Learning Blog

JUNE 12, 2024

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The following screenshot shows the updated information on the Private tab.

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AWS Machine Learning Blog

FEBRUARY 14, 2023

Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched. When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. Let’s now explore how to build this solution in more detail.

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Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

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AWS Machine Learning Blog

DECEMBER 17, 2024

In this post, we demonstrate how to use Amazon Bedrock Data Automation in the AWS Management Console and the AWS SDK for Python (Boto3) for media analysis and intelligent document processing (IDP) workflows. Amazon Bedrock Data Automation enables your contextual ad placement application by generating these insights.

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