Defining prediction patterns

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.

Beginner

Artificial Intelligence

English

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 v2 Using model scores as predictors v2 Leveraging a churn prediction v3

Available in the following mission:

AI for 1:1 Customer Engagement v2

Topics

Creating parameterized predictors

10 mins

Using predictions in engagement strategies

5 mins

Module Quiz

5 mins