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Module

Creating predictions

5 Topics

45 mins

 Visible to: All users
Beginner Pega Customer Decision Hub '24.1 English

Predicting customer churn is a crucial challenge, as losing customers can significantly impact profitability. To address this requirement, you can use a scorecard or a predictive model to drive a churn prediction. Learn how to connect to models in Amazon SageMaker and Google Vertex AI machine learning services, as well as how to challenge the active model with a candidate model.

 

After completing this module, you should be able to:

Build a scorecard to drive a churn prediction in Prediction Studio.
Create a new prediction that uses a predictive model.
Use machine learning services such as Amazon SageMaker and Google machine learning.
Challenge a predictive model.

Practice what you learned in the following Challenges:

Creating a churn prediction using a scorecard v3 Creating a churn prediction using an ML model v3 Challenging a Predictive Model v2

Available in the following mission:

AI for 1:1 Customer Engagement v4

Topics

Creating a churn prediction using a scorecard

5 mins

Predictive models

5 mins

Creating a churn prediction using an ML model

10 mins

Using machine learning services

10 mins

Challenging a predictive model

10 mins

Module Quiz

5 mins

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