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Amazon SageMaker ×

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.

Key Data

Version
Categories
CRM
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

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

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

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