Mission
Pega Process AI Essentials
Archived
8 Módulos
7 Desafios
5 h 40 min
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 Tópicos
35 min
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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
Archived
1 Tópico
15 min
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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
Archived
1 Tópico
15 min
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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 Tarefas
15 min
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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 Tópicos
50 min
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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 Tarefas
15 min
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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 Tarefa
10 min
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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 Tópicos
25 min
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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 Tarefas
10 min
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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
Archived
4 Tópicos
35 min
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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
Archived
1 Tópico
15 min
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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
Archived
3 Tarefas
15 min
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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
Archived
3 Tópicos
40 min
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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 Tarefas
10 min
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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 Tarefas
15 min
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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...
