You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives. What factors do you consider in the prioritization expression?
Answer(s): D
Business levers are factors that you consider in the prioritization expression to balance the customer needs with the business objectives. They can include revenue, cost, risk, retention, satisfaction, or any other custom metric that reflects the value of an action.
https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/using-business-levers
Pega Decision Management enables organizations to make next-best-action decisions. To which types of decisions can next-best-action be applied?
Pega Process AITM lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals. To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to use the model outcome in the condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model's prediction.
U+ Insurance uses Pega Process AITM and wants straight-through processing of claims with a low fraud risk. As a data scientist, you create a prediction that calculates the probability that a claim is fraudulent.What type of prediction do you create to meet this requirement?
Answer(s): A
to create a prediction that calculates the probability that a claim is fraudulent, you need to create a case management prediction. This type of prediction allows you to use predictive models built on external platforms such as H2O.ai and apply them to case types in Pega Process AITM. You can then use the prediction outcome in a decision step to route claims based on their fraud risk. https://academy.pega.com/challenge/creating-fraud-prediction/v3
U+ Insurance uses Pega Process AITM to assess the complexity of the claims and route a claim to the best-suited user. In the case type that handles claims, the application developer wants to use AI to route claims that are likely to miss their deadline to an expert. As a data scientist, what task do you first perform to allow the application developer to reference the AI output in the case type?
to use AI to route claims that are likely to miss their deadline to an expert, you need to create a prediction. A prediction is a decision management component that you can reference in a case type. A prediction uses a predictive model or an adaptive model to calculate a probability or a score for a specific outcome.https://academy.pega.com/topic/process-ai-predictions/v1
Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?
Answer(s): B
Evidence is the number of customers who exhibited statistically similar behavior to the current customer and responded to the modeled offer. It indicates how reliable the propensity score is based on the available data.
https://academy.pega.com/module/predicting-customer-behavior- using-real-time-data-archived/topic/adaptive-models-overview
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