AWS Machine Learning Blog

NOVEMBER 22, 2023

By using the Framework, you will learn current operational and architectural recommendations for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in AWS. This IDP Well-Architected Custom Lens provides you the guidance to tackle the common challenges we see in the field.

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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

JUNE 18, 2024

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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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

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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Unite.AI

JANUARY 29, 2025

Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. As AI technologies emerged, I saw their immense potential for transforming cybersecurityfrom automating threat detection to predictive analytics.

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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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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). By automating the delivery note scanning process, the brewery giant experienced drastic efficiency gains and overcame this logistical challenge with specialized and focused AI strategy.

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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

JULY 30, 2024

With administrative APIs you can automate creating Q Business applications, set up data source connectors, build custom document enrichment, and configure guardrails. 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.

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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.

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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

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 27, 2023

MDaudit recognized that in order to meet its healthcare customers’ unique business challenges, it would benefit from automating its external auditing workflow (EAW) using AI to reduce dependencies on legacy IT frameworks and reduce manual activities needed to manage external payer audits.

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AWS Machine Learning Blog

MARCH 26, 2024

In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. We also provide a reference architecture to build an invoice automation pipeline that enables extraction, verification, archival, and intelligent search. Name==`InvoiceProcessorWorkflow-CognitoUserPoolId`].Value'

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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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Topbots

APRIL 4, 2024

Artificial intelligence (AI) is a game-changer in the automation of these mundane tasks. By leveraging AI, organizations can automate the extraction and interpretation of information from documents to focus more on their core activities. Initially, businesses relied on basic automation tools that could only perform simple tasks.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. At AWS, were using the power of models in Amazon Bedrock to drive automation of complex processes that have traditionally been challenging to streamline. with the guardrail ID you created in Step 3.

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ODSC - Open Data Science

OCTOBER 27, 2023

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.

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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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AWS Machine Learning Blog

MAY 24, 2023

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. In the following sections, we discuss the stages of the process in detail.

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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

JULY 25, 2024

Automate workflows and tasks – Amazon Q can be configured to complete routine tasks and queries (such as generating status reports, answering FAQs, or requesting information) by interacting with the relevant SharePoint data and applications. This is an automated process that takes in the inputs and configures the required permissions.

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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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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. We provide the following sample Lambda function that you can copy and modify to meet your needs for automating the creation of the Studio user profile.

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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

JULY 17, 2024

AWS Support provides you with proactive planning and communications, advisory, automation, and cloud expertise to help you achieve business outcomes with increased speed and scale in the cloud. compliant identity provider (IdP) configured in the same AWS Region as your Amazon Q Business application.

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AWS Machine Learning Blog

JUNE 12, 2024

By using the advanced natural language processing (NLP) capabilities of Anthropic Claude 3 Haiku, our intelligent document processing (IDP) solution can extract valuable data directly from images, eliminating the need for complex postprocessing. As next steps, check out What is Amazon Bedrock to start using the service.

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AWS Machine Learning Blog

MAY 9, 2023

The rapid rate of data generation means that organizations that aren’t investing in document automation risk getting stuck with legacy processes that are manual, slow, error prone, and difficult to scale. The workflow steps are as follows: A document is uploaded to an Amazon Simple Storage Service (Amazon S3) bucket.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

NOVEMBER 13, 2024

The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). By following these steps, you can efficiently process, review, and store documents using a fully automated AWS Cloud-based pipeline.

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AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic , a leader in generative integration and automation, has introduced the industry’s first low-code generative AI development platform, Agent Creator , designed to democratize AI capabilities across all organizational levels. This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger from SnapLogic. Not anymore!

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AWS Machine Learning Blog

JULY 18, 2024

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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AWS Machine Learning Blog

OCTOBER 10, 2024

Data source contains irreconcilable identities Amazon Q Business requires all users to authenticate with an enterprise-approved identity provider (IdP). After successful authentication, Amazon Q Business uses the IdP-provided user identifier to match against the user identifier fetched from the data source during ACL crawling.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

DECEMBER 17, 2024

Amazon Bedrock Data Automation in public preview helps address these and other challenges. With Amazon Bedrock Data Automation, customers can fully utilize their data by extracting insights from their unstructured multimodal content in a format compatible with their applications.

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