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Defining prediction patterns

2 Topics

20 mins

Visible to: All users
Beginner Pega Customer Decision Hub '23 Artificial Intelligence English
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Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors in Pega Customer Decision Hub™. For example, you can make input fields that are not directly available in the customer data model accessible to the models by configuring these fields as parameterized predictors.
Gain experience using a prediction in a decision strategy and learn how to arbitrate between different groups of actions to display more relevant offers to customers.

After completing this module, you should be able to:

Describe how to use predictions in a decision strategy.
Configure parameterized predictors.
Arbitrate between business issues using applicability rules in Next-Best-Action Designer.

Practice what you learned in the following Challenges:

Using behavioral data as predictors v3 Using offline model scores as predictors v1 Leveraging a churn prediction v4

Available in the following mission:

AI for 1:1 Customer Engagement v3

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