Mission
Pega Process AI Essentials
8 Modules
7 Challenges
5 hrs 40 mins
In recent years, artificial intelligence (AI) has proven to generate significant business value for organizations that use AI to improve their processes and communications. At the same time, operationalizing AI might cause bottlenecks. Pega Process AI™ solves this problem by using AI to self-optimize processes, and by giving you an option to use your own AI in Pega Platform.
Learn how to put your models to work and how to enable self-learning adaptive models to increase the efficiency and the effectiveness of case management.
Customer Decision Hub predictions
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Module
Customer Decision Hub predictions
2 Topics
35 mins
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Prediction Studio is the dedicated workspace for data scientists to control the life cycles of predictions and the predictive models that drive them...
Pega Process AI overview
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Module
Pega Process AI overview
1 Topic
15 mins
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Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Prediction Studio is the dedicated workspace for...
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...
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...
Creating predictive models
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Module
Creating predictive models
5 Topics
50 mins
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In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...
Building models with Pega machine learning
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Challenge
Building models with Pega machine learning
6 Tasks
15 mins
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U+ Bank uses AI to determine which credit card offer to show a customer on the bank's website. To reduce the number of clients that leave the bank...
Importing predictive models
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Challenge
Importing predictive models
1 Task
10 mins
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U+ Bank has recently implemented Pega Decision Management but already uses predictive models that an external bureau created. You are asked to make an...
MLOps
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Module
MLOps
2 Topics
25 mins
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Learn how to use Machine Learning Operations (MLOps) to replace the predictive model that drives a prediction with a new model. You can import a...
Replacing a predictive model
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Challenge
Replacing a predictive model
3 Tasks
10 mins
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U+ Bank uses Pega Customer Decision Hub™ to personalize the credit card offers that a customer receives on its website. The bank makes a proactive...
Adaptive analytics overview
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Module
Adaptive analytics overview
4 Topics
35 mins
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Pega Adaptive Decision Manager (ADM) is a component that allows you to build self-learning adaptive models that continuously improve predictions. ADM...
Predicting case completion
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Module
Predicting case completion
1 Topic
15 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...
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...
Monitoring adaptive models
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Module
Monitoring adaptive models
3 Topics
40 mins
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It is a regular data scientist task to inspect the health of the adaptive models and share the findings with the business. The predictive performance...
Monitoring adaptive models
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Challenge
Monitoring adaptive models
3 Tasks
10 mins
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The models for the U+Bank implementation of cross-sell on the web of their credit cards have been learning for some time. Your task in this challenge...
Exporting historical data
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Challenge
Exporting historical data
5 Tasks
15 mins
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U+ Bank has implemented Pega Customer Decision Hub™ to display a personalized credit card offer to eligible customers on their website. As a data...