
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Embedded Transcoder
Product Overview
LiveRamp’s Embedded Transcoder enables translation of encoded RampIDs to another RampID encoding, ensuring customer data can be used throughout the ecosystem safely and effectively. Primary use cases include: 1) Translation of full audiences to destination platforms for direct activation 2) Translation of exposure data for measurement insights and 3) Person-based data collaboration without exposing PII. The deployment uses a CloudFormation template enabling set up within your VPC, with a few requirements: 1) Access requires a client ID and secret. 2) This product is RampID translations, meaning it assumes data is already on LiveRamp’s persistent pseudonymous identifier. 3) LiveRamp requires a multi-party agreement to begin translations. Please reach out directly to awspartnership@liveramp.com to learn more.
Usage Information
Additional Resources
End User License Agreement
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Support Information
Embedded Transcoder
LiveRamp offers a range of services to help you make the most of your investment. Our Services team will work with you to find the right level of support for your use cases, please reach out for more information.
https://liveramp.com/developers/product/identity/AWS Infrastructure
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