Misión
Pega Process AI Essentials
5 Módulos
6 Retos
4 horas 25 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.
Pega Process AI overview
-
Módulo
Pega Process AI overview
3 Temas
35 minutos
-
Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Prediction Studio is the dedicated workspace for...
Predicting fraud
-
Módulo
Predicting fraud
4 Temas
40 minutos
-
Occasionally, an insurance claim might be erroneous or even fraudulent. To detect fraud and optimize the way in which the application routes work and...
Importing predictive models
-
Reto
Importing predictive models
2 Tareas
5 minutos
-
U+ Bank has recently implemented Pega Decision Management but has already been using predictive models created by an external bureau for some time...
Creating a fraud prediction
-
Reto
Creating a fraud prediction
3 Tareas
15 minutos
-
U+ Insurance routes incoming car insurance claims for straight-through processing when the claimed amount does not exceed a set limit. If the claimed...
MLOps
-
Módulo
MLOps
2 Temas
25 minutos
-
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
-
Reto
Replacing a predictive model
3 Tareas
10 minutos
-
U+ Bank uses Pega Customer Decision Hub™ to personalize the credit card offers that a customer is presented on its website. To customers that are...
Predicting case completion
-
Módulo
Predicting case completion
3 Temas
35 minutos
-
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
-
Reto
Creating a case completion prediction
3 Tareas
15 minutos
-
U+ Insurance implements Pega AI to optimize case automation and wants to predict if an incoming claim has a low probability of being completed in the...
Monitoring adaptive models
-
Módulo
Monitoring adaptive models
3 Temas
40 minutos
-
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
-
Reto
Monitoring adaptive models
3 Tareas
10 minutos
-
The U+Bank implementation for cross-sell on the web of their credit cards and the models have been learning for some time. Your task is to inspect the...
Exporting historical data
-
Reto
Exporting historical data
4 Tareas
15 minutos
-
U+ Bank has implemented Pega Customer Decision Hub™ to display a personalized credit card offer to eligible customers on their website. As a data...