Adaptive models

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.

Principiante

Inglés

Después de completar este módulo, podrá hacer lo siguiente:

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.

Practique lo que ha aprendido en el siguiente Reto:

Adding predictors to an adaptive model v11

Disponible en la siguiente misión:

AI for 1:1 Customer Engagement v5

Temas

Adaptive analytics

10 minutos

Action arbitration with AI

10 minutos

Predictors of adaptive models

10 minutos

Shadowing an adaptive model

10 minutos

Cuestionario del módulo

10 minutos