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Module

Optimizing AI in the NBA Framework

2 Topics

30 mins

Pega Customer Decision Hub 8.7
Visible to all users
Beginner Pega Customer Decision Hub 8.7 English

Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors. Input fields that are not directly available in the customer data model can be made accessible to the models by configuring these fields as parameterized predictors.

After completing this module, you should be able to:

Configure additional potential predictors for an adaptive model
Configure parameterized predictors

Practice what you learned in the following Challenges:

Adding predictors to an adaptive model Using behavioral data as predictors Using a model score as a predictor

Available in the following mission:

AI for 1:1 Customer Engagement

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