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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
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. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-case-management
MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub. Which three of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)
Call center, SMS, and Retail store Reference:
MyCo can useCall center,SMS, andRetail storeas real-time channels to present Next-Best-Actions.
When compared to a Predictive Model, an Adaptive Model is different as it_____________
An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview
Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________
Lift is a key metric for the performance of the adaptive models. To measure lift, you need a control group with random actions. Lift is the ratio of the performance of the adaptive model to the performance of the control group. A control group is a subset of customers who receive random actions instead of the ones suggested by the model. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-adm-/data-adm-model/main.htm
In a decision strategy, to remove propositions based on the current month, you use a
The calendar component is used to remove propositions based on the current month, day of week, or time of day. It can also be used to apply seasonal adjustments to propositions. Reference: https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-calendar-component
