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Adaptive models

3 Topics

40 mins

Visible to: All users
Beginner Pega Customer Decision Hub '23 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, which helps businesses to implement adaptive models for predicting customer behavior, such as interacting with online offers. By continuously learning from customer responses, ADM 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.

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.

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 v3

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