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This document describes optional review steps and how to initiate the first training for your model: In this document: Table of Contents Placeholder Use the following sections as a guide to review yo...

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Tealium Employee

Jun 10, 2020

This document describes how to use optional advanced configuration options to select a training date range and select attributes to exclude, if desired. In this document: Table of Contents Placeholder...

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Tealium Employee

Jun 10, 2020

This document describes how to add a model, select your target attributes and prediction timeframe, and then name your model and attribute for future use. In this document: Table of Contents Placehold...

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Tealium Employee

Jun 10, 2020

This document describes how to delete a model. You cannot delete a version of a model, only an entire model. Use the following steps to delete a model: Go to the Model Explorer screen. Click the mode...

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Tealium Employee

Jun 10, 2020

This document describes how to deploy or undeploy one or more versions of a trained model. In this article: Table of Contents Placeholder You are now ready to deploy your trained model. Use the steps...

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Tealium Employee

Jun 10, 2020

This document describes how to retrain a model after evaluating the model and determining changes are required to improve predictions. In this document: Table of Contents Placeholder Use the followin...

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Tealium Employee

Jun 10, 2020

This document provides detailed descriptions of model strength quality scores. In this document: Table of Contents Placeholder The quality of any machine learning model created using Tealium Predict ...

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Tealium Employee

Jun 10, 2020

Visitor data is not purged by default. For information about purging specific visitor data, contact your account representative. Model training is not a one-time task. For that reason, visitor d...

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Tealium Employee

Jun 10, 2020

This document describes General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) compliance as it relates to the Tealium Predict Machine Learning product. Predict...

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Tealium Employee

Jun 10, 2020

This document describes how Predict data is collected and used. Predict Models run at the end of each visit for every visitor at the normal time, which is during the end of the session aggregation st...

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Tealium Employee

Jun 10, 2020

This document describes where your data is stored during the data collection period and beyond, and the access controls used to protect that data. In this document: Table of Contents Placeholder Pred...

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Tealium Employee

Jun 10, 2020

Visitor Stitching does not impact the Predict modeling results. Predict Machine Learning models train on visitor profiles, not visits. The actual and predicted values that display in the Model Traini...

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Tealium Employee

Jun 10, 2020

This document describes machine learning technology concepts, goals, audiences, and technological advances. In this document: Table of Contents Placeholder Machine learning is a subfield of artificia...

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Tealium Employee

Jun 10, 2020

This document provides a generic overview of the differences between Machine Learning and Artificial Intelligence. In this document: Table of Contents Placeholder Artificial Intelligence (AI) and Mac...

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Tealium Employee

Jun 10, 2020

This document provides detailed information about model scoring techniques and formulas used to assign scores and rating to deployed models in the Tealium Predict product. In this document: Table of C...

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Tealium Employee

Jun 10, 2020

This document serves as a guideline of items to consider when creating audiences using your results from Tealium Predict. In this article: Table of Contents Placeholder Once a model is deployed and m...

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Tealium Employee

Jun 10, 2020

This document describes how access the Tiles view in Tealium Predict and use the sparkline graph as a guideline to view the ongoing health of a deployed model. In this article: Table of Contents Place...

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Tealium Employee

Jun 10, 2020

This document provides an overview of how to evaluate your trained version before deploying your model. In this article: Table of Contents Placeholder Use the following sections as a guide to view mo...

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Tealium Employee

Jun 10, 2020

This document describes how to get started by selecting the AudienceStream output attributes you want to add or exclude for your data model. In this document: Table of Contents Placeholder Tealium Pre...

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Tealium Employee

Jun 10, 2020

This document describes data wellness concepts and actionable steps you can take to examine and optimize the health of your data layer before starting with Predict. In this document: Table of Contents...

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Tealium Employee

Jun 10, 2020

This document provides a descriptions of various approaches you can use to define your strategy and goals before you begin creating and training models. In this document: Table of Contents Placeholder...

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Tealium Employee

Jun 10, 2020

This section describes what is required to use the Tealium Predict product, suggested steps to take before you begin to ensure ideal results, and available services. AudienceStreamTo get started usi...

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Tealium Employee

Jun 10, 2020

This document describes the Tealium Predict product tiers and availability based on the number of models created, used, and deployed. In this document: Table of Contents Placeholder If you have the Te...

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Tealium Employee

Jun 10, 2020

This document defines general statistical modeling terminology, terms specific to Tealium products, and terms used in the Tealium Predict interface. In this article: Table of Contents Placeholder In ...

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Tealium Employee

Jun 10, 2020

This article describes the Tealium Predict product and how it is used to create, train, and deploy machine learning models and use these models to make predictions about visitor behavior. In this arti...

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Community Manager

Jun 10, 2020