Misión
Pega Process AI Essentials
8 Módulos
7 Retos
5 horas 40 minutos
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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Módulo
Customer Decision Hub predictions
2 Temas
35 minutos
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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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Módulo
Pega Process AI overview
1 Tema
15 minutos
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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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Módulo
Predicting fraud
1 Tema
15 minutos
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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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Reto
Creating a fraud prediction
3 Tareas
15 minutos
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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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Módulo
Creating predictive models
5 Temas
50 minutos
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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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Reto
Building models with Pega machine learning
6 Tareas
15 minutos
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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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Reto
Importing predictive models
1 Tarea
10 minutos
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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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Módulo
MLOps
2 Temas
25 minutos
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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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Reto
Replacing a predictive model
3 Tareas
10 minutos
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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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Módulo
Adaptive analytics overview
4 Temas
35 minutos
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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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Módulo
Predicting case completion
1 Tema
15 minutos
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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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Reto
Creating a case completion prediction
3 Tareas
15 minutos
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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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Módulo
Monitoring adaptive models
3 Temas
40 minutos
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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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Reto
Monitoring adaptive models
3 Tareas
10 minutos
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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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Reto
Exporting historical data
5 Tareas
15 minutos
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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...