Additional adaptive model predictors based on Interaction History
Valid from Pega Version 8.1
Customer interactions are now automatically used in adaptive models to predict future customer decisions. For example, a phone purchase registered in Interaction History allows an adaptive model to predict that a customer is more likely to accept supplementary coverage for a new device. Such interactions, collected in a predefined Interaction History summary, are applied as an additional set of predictors in an adaptive model.
The aggregated Interaction History summary predictors are enabled by default for every adaptive model configuration.
For more information, see Enabling Interaction History predictors for existing adaptive models.
Update text analytics models instantly through an API
Valid from Pega Version 8.1
Use the pxUpdateModels API to automatically retrain text analytics models for which you gathered feedback as a result of the pxCaptureTAFeedback activity. The pxUpdateModels API provides an option to update the model with the latest feedback without having to open Prediction Studio. Instead, you can use the activity from your application, for example, through a button control.
For more information, see Feedback loop for text analytics.
Managed real-time data flow runs
Valid from Pega Version 8.1
Pega Platform™ now fully manages the life cycle of real-time data flow runs which helps you save time and reduce maintenance efforts. You no longer need to re-create the runs in every environment and manually pause and restart them after every modification. The application manages such runs by seamlessly implementing your changes and keeping the runs active until they encounter a specified number of errors or until you exclude the runs from the application.
For more information, see Tutorial: Using managed data flow runs and Creating a real-time run for data flows