AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected 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 secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

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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. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Building a production-ready IDP solution in the cloud requires a series of trade-offs between cost, availability, processing speed, and sustainability.

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AWS Machine Learning Blog

JANUARY 13, 2025

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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AWS Machine Learning Blog

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. Personalized care : Using machine learning, clinicians can tailor their care to individual patients by analyzing the specific needs and concerns of each patient.

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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. This is where IDP on AWS comes in. However, you can extend these constructs for any form type.

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AWS Machine Learning Blog

MARCH 21, 2025

He focuses on digital transformation strategy, application modernization and migration, data analytics, and machine learning. He is part of the AI/ML community at AWS and designs Generative AI and Intelligent Document Processing(IDP) solutions. Solutions Architect at Amazon Web Services.

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AWS Machine Learning Blog

OCTOBER 31, 2024

The web application that the user uses to retrieve answers is connected to an identity provider (IdP) or AWS IAM Identity Center. The user’s credentials from the IdP or IAM Identity Center are referred to here as the federated user credentials. compliant IdP, such as Okta, Entra ID, or Ping Identity. Vineet Kachhawaha is a Sr.

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AWS Machine Learning Blog

OCTOBER 2, 2024

or OIDC compliant IdP with AWS Identity and Access Management (IAM) to access your Amazon Q Business application. If not already authenticated, the user is redirected to the IdP configured for the Amazon Q Business application. After the user authenticates with the IdP, they’re redirected back to the client with an authorization code.

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Flipboard

MARCH 22, 2023

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler. Configure Snowflake.

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AWS Machine Learning Blog

JUNE 18, 2024

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. By examining the various stages of the IDP pipeline, you can enhance your own IDP pipeline with LLM workflows.

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AWS Machine Learning Blog

APRIL 11, 2024

Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions that can automate the document classification, and create a cost-effective classification layer capable of handling diverse, unstructured enterprise documents. Categorizing documents is an important first step in IDP systems.

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Unite.AI

APRIL 3, 2024

This strategy was adopted by global brewery group Carlsberg, who saved over 140 hours of work per month using intelligent document processing (IDP). Intelligent Document Processing (IDP) is your tool to maintain control of your document multiverse, ensuring every step of documentation is in perfect compliance.

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AWS Machine Learning Blog

APRIL 30, 2024

You can configure IAM Identity Center to use your enterprise identity provider (IdP)—such as Okta or Microsoft Entra ID—as the identity source. When using an external IdP such as Okta, users and groups are first provisioned in the IdP and then automatically synchronized with the IAM Identity Center instance using the SCIM protocol.

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AWS Machine Learning Blog

JULY 30, 2024

Consider a client-server application that uses an external identity provider (IdP) to authenticate a user to provide access to an AWS resource that’s private to the user. For example, your web application might use Okta as an external IdP to authenticate a user to view their private conversations from Q Business.

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AWS Machine Learning Blog

AUGUST 22, 2024

If you want to use Amazon Q Business to build enterprise generative AI applications, and have yet to adopt organization-wide use of AWS IAM Identity Center , you can use Amazon Q Business IAM Federation to directly manage user access to Amazon Q Business applications from your enterprise identity provider (IdP), such as Okta or Ping Identity.

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AWS Machine Learning Blog

OCTOBER 24, 2023

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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AWS Machine Learning Blog

SEPTEMBER 8, 2023

The implementation used in this post utilizes the Amazon Textract IDP CDK constructs – AWS Cloud Development Kit (CDK) components to define infrastructure for Intelligent Document Processing (IDP) workflows – which allow you to build use case specific customizable IDP workflows. Testing First test using a sample file.

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AWS Machine Learning Blog

MARCH 26, 2024

This post uses the Amazon Textract IDP CDK constructs (AWS CDK components to define infrastructure for intelligent document processing (IDP) workflows), which allows you to build use case-specific, customizable IDP workflows. To learn more about IDP, refer to the IDP with AWS AI services Part 1 and Part 2 posts.

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AWS Machine Learning Blog

AUGUST 3, 2023

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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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. 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.

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ODSC - Open Data Science

OCTOBER 27, 2023

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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AWS Machine Learning Blog

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. We also reviewed how MDaudit is solving those challenges, the architecture MDaudit used, and how AI and machine learning played a part in their solution.

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AWS Machine Learning Blog

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. If you already have an OAuth-compatible IdP, you can use it instead of setting an Amazon Cognito user pool.

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Unite.AI

JANUARY 29, 2025

By identifying and prioritizing latency-sensitive workloads, such as real-time data analysis or machine learning model inference, Aryaka ensures that AI applications receive the necessary network resources for rapid decision-making.

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AWS Machine Learning Blog

NOVEMBER 20, 2024

aligned identity provider (IdP). IAM Identity Center is a single place where you can assign your workforce users, also known as workforce identities , to provide consistent access to multiple AWS accounts and applications. In this post, we use IAM Identity Center as the SAML 2.0-aligned

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AWS Machine Learning Blog

JANUARY 8, 2024

With AWS intelligent document processing (IDP) using AI services such as Amazon Textract , you can take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from PDFs or document images (TIFF, JPEG, PNG). Now on to our second solution for documents at scale.

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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

FEBRUARY 21, 2025

Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data. We demonstrate how generative AI along with external tool use offers a more flexible and adaptable solution to this challenge.

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AWS Machine Learning Blog

JULY 25, 2024

A document’s ACL contains information such as the user’s email address and the local groups or federated groups (if Microsoft SharePoint is integrated with an identity provider (IdP) such as Azure Active Directory/Entra ID) that have access to the document. Outside of work, he enjoys running, playing tennis, and cooking.

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AWS Machine Learning Blog

DECEMBER 18, 2024

When you use identity federation, you can manage users with your enterprise identity provider (IdP) and use IAM to authenticate users when they sign in to Amazon Q Business. This is the recommended method for managing human access to AWS resources and the method used for the purpose of this blog.

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Topbots

APRIL 4, 2024

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. It’s smarter because it uses a mix of tech, including advanced machine learning and NLP, to see the big picture.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Amazon Q Business is designed to be secure and private, seamlessly integrating with your existing identity provider (IdP). It works directly with your identities, roles, and permission sets, making sure users cant access data they are not authorized to.

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AWS Machine Learning Blog

JUNE 19, 2023

Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. To do so, open your IdP and add a user to one of the AD groups with the Studio execution role mapped.

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Pickl AI

SEPTEMBER 17, 2024

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

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AWS Machine Learning Blog

FEBRUARY 14, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). He enjoys helping customers in using cloud technologies to address their business challenges and is specialized in machine learning and is focused on helping customers leverage AI/ML for their business outcomes.

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