Native synchronization indicators for offline-enabled mobile apps
Valid from Pega Version 8.5
Offline-enabled mobile apps now include a set of native synchronization indicators. Indicators keep users informed about the data synchronization status, for example, the Syncing indicator appears when an app regains network connectivity and starts receiving responses from the server. You can customize the indicators to better suit the look and feel of your mobile app. For more information, see Customizing synchronization indicators.
Upgrade impact
After upgrading Pega Platform™ to version 8.5, your app does not include native synchronization indicators until you update your application to use UI-Kit 15.
What steps are required to update the application to be compatible with this change?
Update the UI Kit in your application to version 15. For more information, see Updating the UI Kit in your application.
Uploading customer responses into adaptive models is no longer available
Valid from Pega Version 8.5
The option to train adaptive models by uploading a static list of historical interaction records has been deprecated in Pega Platform™ 8.5.
Upgrade impact
In versions of Pega Platform earlier than 8.5, it was possible to train an adaptive model by uploading historical data of customer interaction. After the upgrade to version 8.5, this option is no longer available.
What steps are required to update the application to be compatible with this change?
Use data from a report definition to train adaptive models. For more information, see Training adaptive models.
More flexibility for Date Time predictors in adaptive models
Valid from Pega Version 8.5
You can configure adaptive model predictors that indicate the amount of time that has elapsed since a particular event. In versions of Pega Platform™ earlier than 8.5, you could only specify the absolute date and time, for example, the date when a subscriber last visited one of your brick-and-mortar store locations. In Pega Platform 8.5, you can also indicate the amount of time that has passed, for example, the number of days since a subscriber purchased a new service plan.
For more information, see Adding a predictor to an adaptive model.