You use Customer Service data sources to add external data objects into the Pega Customer Service™ application. Within data sources, you can specify...

Learn how to improve the predictive power of your adaptive models by creating parameterized predictors. Input fields that are not directly available...

Predicting customer churn is a crucial challenge, as losing customers can significantly impact profitability. To address this requirement, you can use...

Predicting customer churn is one of many business use cases that involve predictive models. Pega Customer Decision Hub™ provides predictions that use...

In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...

Familiarize yourself with the one-to-one customer engagement paradigm and discover how Pega’s omnichannel AI delivers the right action during every...

Discover the Pega Customer Decision Hub™ predictions in the Prediction Studio portal, a comprehensive workspace for Data Scientists who manage...

Learn how to configure various aspects of the Pega Customer Service™ UI. Customize the layout for a service case, add a field to display, and modify...

Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors in Pega Customer Decision Hub™. For...