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Predicting fraud
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Module
Predicting fraud
1 Topic
15 mins
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Occasionally, an insurance claim might be erroneous or even fraudulent. To detect fraud and optimize the way in which the application routes work and...
Predicting missing the Service-Level Agreement
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Module
Predicting missing the Service-Level Agreement
1 Topic
10 mins
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Pega Process AI™ can help to distinguish regular from complex claims. Complex claims often escalate into a lengthy process, which is not only costly...
Preparing Customer Decision Hub for development
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Module
Preparing Customer Decision Hub for development
3 Topics
40 mins
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Discover how to complete the essential setup tasks of the Pega Customer Decision Hub™ application through an automated, end-to-end process by using...
Adding a new property to an existing entity
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Challenge
Adding a new property to an existing entity
4 Tasks
20 mins
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U+ Bank wants to improve the experience of its customers with personalized decisions that are driven by customer-centric engagement policies and...
Creating a case completion prediction
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Challenge
Creating a case completion prediction
3 Tasks
15 mins
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U+ Insurance implements Pega Process AI™ to optimize case automation. The business wants to predict whether an incoming claim has a low probability of...
Creating a fraud prediction
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Challenge
Creating a fraud prediction
3 Tasks
15 mins
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U+ Insurance routes incoming car insurance claims for straight-through processing when the amount of a claim is under a set limit. If the amount of...
Importing customer data from a CSV
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Challenge
Importing customer data from a CSV
2 Tasks
10 mins
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U+ Bank wants to improve the experience of its customers with predictive and adaptive analytical models that drive personalized decisions. Following...
Populating sample data using Monte Carlo data sets
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Challenge
Populating sample data using Monte Carlo data sets
5 Tasks
20 mins
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The U+ Bank project team built an implementation application of Pega Customer Decision Hub™ using the setup wizard, making use of the 1:1 Financial...