Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

Getting started with Prediction Studio

Updated on July 5, 2022

Harness the power of artificial intelligence and machine learning to drive your business results by managing adaptive, predictive, and text analytics models in Prediction Studio.

In this workspace for data scientists, you can develop, monitor, and adjust models for analyzing customer interactions and communications to predict their future behavior.
  • Prediction Studio overview

    Prediction Studio is an authoring environment in which you can control the life cycle of AI and machine learning models (such as model building, monitoring, and update). From Prediction Studio, you can also manage additional resources, such as data sets, taxonomies, and sentiment lexicons.

  • Setting up your environment

    System architects can perform a number of optional tasks, such as configuring the default application context for models and other Prediction Studio records or selecting an internal database where Prediction Studio records are stored. Prediction Studio also allows you to enable outcome inferencing and configure the model transparency policy.

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us