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Module

Adaptive models

4 Topics

50 mins

 Visible to: All users
Beginner
Pega Customer Decision Hub '24.1
English
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Online, adaptive models are crucial to next-best-action decision strategies in Pega Customer Decision Hub™. Adaptive Decision Manager is a key component of Pega Decision Management, and helps organizations deliver tailored experiences that balance customer relevance and business priorities.        

Discover the crucial role of input fields as predictor data in enhancing the predictive performance of adaptive models. Adaptive models automatically optimize by selecting the best subset of predictors from various relevant data sources.

Learn how to safely monitor a new adaptive model configuration by shadowing an active model.

After completing this module, you should be able to:

Explain how adaptive analytics supports Customer Decision Hub in the selection of the next best action for each customer.
Describe how ADM generates Bayesian models.
Explain how arbitration works.
Request a decision for a customer in Customer profile viewer.
Explore the original model propensity and model evidence.
Configure additional potential predictors for an adaptive model.
Shadow an adaptive model to safely monitor a new adaptive model configuration.

Practice what you learned in the following Challenge:

Adding predictors to an adaptive model v7

Available in the following mission:

AI for 1:1 Customer Engagement v4

Topics

Adaptive analytics

10 mins

Action arbitration with AI

10 mins

Predictors of adaptive models

10 mins

Shadowing an adaptive model

10 mins

Module Quiz

10 mins

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