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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.

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Embedded Transcoder

The power of LiveRamp identity infrastructure in your VPC, enabling seamless translation between identity encodings for marketing use cases.
  • This product has been removed and is no longer available to new customers.

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

Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • LiveRamp’s identity resolution technology is fully deterministic with resolution after a preponderance of evidence is available. Our deployment through SageMaker is not a ML model but enables brands and platforms to eliminate data movement and translate identifiers directly within their VPC through a network isolation mode deployment model.

  • Our standard deployment models cover 10,000 / 100,0000 / 1,000,000 transcodes per second. Depending on scale of sagemaker deployment, response times vary from 800ms to 13 seconds for batches of 5000 records in a single request.

  • Proxy system deployed to AWS Lambda in your VPC allows for ease of use and authentication / login to your new translation appliance.

Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

Usage Information

Model input and output details

Input

Summary

Model input is LiveRamp’s proprietary encryption technology algorithm.

Input MIME type
application/json
Sample input data
XiT001Zxyz_NDhFMTZDQz-tQkUxRC00NjE2LTkxOUltMkYwOUQ0OUJCQ0E2MDdGOTk5NTQ

Output

Summary

Output is LiveRamp’s persistent person based identifier (AbiliTec ID for known use cases and RampID for pseudonymous use cases)

Output MIME type
application/json
Sample output data
XiT999RkQ3MEY1RUYtNUIyMi00QjJGLUFDNjgtQjQ3QUEwMTNEMTA1CgMjVBMkNEMTktRD

Additional Resources

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

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.

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.

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Refund Policy

Refunds are not available for this offering

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