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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

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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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning Blog

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. Alberto Menendez is an Associate DevOps Consultant in Professional Services at AWS. He helps customers migrate big data and AL/ML workloads to AWS.

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New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

AWS Machine Learning Blog

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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London Stock Exchange Group uses Amazon Q Business to enhance post-trade client services

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Integration and testing : The application was secured using a third-party identity provider (IdP) as the IdP for identity and access management to manage users with their enterprise IdP and used AWS Identity and Access Management (IAM) to authenticate users when they signed in to Amazon Q Business. Zmnako Awrahman, Ph.D. ,

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