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

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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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

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

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 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

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 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

SEPTEMBER 27, 2023

Solution overview MDaudit built an intelligent document processing (IDP) solution, SmartScan.ai. With the integration of AI-driven capabilities, using AWS AI/ML services, their innovative solution SmartScan.ai To start exploring ML and AI today, refer to Machine Learning on AWS , and see where it can help you in your next solution.

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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. Source: Equifax) Part 1 of this series discusses the most common challenges associated with the manual lending process.

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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

MAY 9, 2023

The following diagram shows the workflow to migrate unstructured data into FHIR for AI and machine learning (ML) analysis in Amazon HealthLake. Users can make predictions with health data using Amazon SageMaker ML models. Randheer is passionate about AI/ML and its application within HCLS industry.

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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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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

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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AWS Machine Learning Blog

MAY 18, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). If you use an email ID with domain form IDP as the ACL setting, the LDAP server endpoint, search base, LDAP user name, and LDAP password are also required.

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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

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

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

JULY 24, 2024

The web application that the user uses to retrieve answers would be connected to an identity provider (IdP) or the AWS IAM Identity Center. The user’s credentials from the IdP or IAM Identity Center are referred to here as the federated user credentials.

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AWS Machine Learning Blog

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. Rajesh Ramchander is a Senior Data & ML Engineer in Professional Services at AWS. He helps customers migrate big data and AL/ML workloads to AWS.

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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. For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment.

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AWS Machine Learning Blog

JULY 17, 2024

compliant identity provider (IdP) configured in the same AWS Region as your Amazon Q Business application. Technical Account Manager specializing in generative AI solutions and dedicated to helping customers successfully adopt AI/ML on AWS. AWS IAM Identity Center as the SAML 2.0-compliant About the authors Chitresh Saxena is a Sr.

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AWS Machine Learning Blog

AUGUST 8, 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. Enter a prompt in the Amazon Q Business AI assistant at the bottom, such as “What AWS AI/ML service can I use to convert text from one language to another?” You can also try your own prompts.

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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

AUGUST 22, 2024

External Identity Provider – Choose this option if you want to manage users in other external identity providers (IdPs) through the Security Assertion Markup Language (SAML) 2.0 His focus area is AI/ML and Energy & Utilities Segment. standard, such as Okta. He has over 17 years of experience in technology across various roles.

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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, 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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