U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.

U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.

When you open the monitoring tab of the adaptive model rule, you see the following chart:

In this scenario, the system creates an adaptive model for each
A . case type instance
B. case type
C. case type step
D. case type stage

Answer: B

Explanation:

In this scenario, the system creates an adaptive model for each case type, such as claim or complaint. The adaptive model learns from the outcomes of each case type and predicts the probability of case completion for each customer.

References: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-case-management

U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.

U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.

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