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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Support for predictive models in PMML version 4.4

Valid from Pega Version 8.5

Pega Platform™ now supports the import of predictive models in Predictive Model Markup Language (PMML) version 4.4. With this feature, you can import PMML models that use the anomaly detection algorithm.

For a list of all supported PMML models, see Supported models for import

 

Low-code styling in mobile apps

Valid from Pega Version 8.5

The mobile channel now supports enhanced low-code styling and branding of mobile apps. For example, you can customize app icons in three different ways: by uploading an image, by selecting from a list of font icons, or by using the default text-based icons. This enhancement helps you to conveniently customize the look of mobile apps to match the branding guidelines of your company and provide a consistent experience for users across different channels.

For more information, see Applying a custom theme to mobile apps.

Offline support for Cosmos-based mobile apps

Valid from Pega Version 8.5

Mobile apps that are based on the Cosmos design system now support offline mode. Previously, offline-enabled apps had to rely on the classic look. Now, you can use the low-code Cosmos solutions to design apps that operate reliably regardless of the connection status. 

For more information, see Designing apps for offline mode.

Support for Apache HBase 2.1 and Hadoop 3.0

Valid from Pega Version 8.5

Support for these versions extends Pega Platform™ compatibility with HBase releases to ensure that your database implementations integrate seamlessly with Pega Platform.

Pega Platform now supports:

  • Apache HBase 2.1 for the HBase data set
  • Apache Hadoop Distributed File System (HDFS) 3.0 for the HDFS data set

For more information, see Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5).

Enhanced search in the mobile channel

Valid from Pega Version 8.5

The search configuration now includes up to three additional secondary fields, such as the case ID, category, cost, date, owner, and active channel. The enhancement increases the usability of search on mobile apps and provides more contextual information in the search results.

For more information, see Adding a search gadget.

Improved mobile channel user experience

Valid from Pega Version 8.5

Mobile channel authoring now includes two significant enhancements to the user experience. The new instant run-time preview makes security configuration more convenient. In addition, the offline tab is now present by default, to help you build offline-enabled mobile apps and complete assignments in areas with limited connectivity.

Enhanced swipe support for case actions

Valid from Pega Version 8.5

UI authoring in the mobile channel now offers more case-wide actions that can be performed by swiping on list items. For example, you can add a swipe action to attach an invoice to your expense work item. This enhancement increases usability and work efficiency as it allows for fast, instinctive mobile interactions.

For more information, see Designing a new mobile list page.

Enhancing your revision management process with Deployment Manager pipelines

Valid from Pega Version 8.5

Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.

For more information, see Managing the business-as-usual changes.

Support for Cloud AutoML topic detection models

Valid from Pega Version 8.5

In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.

For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).

Control group configuration for predictions

Valid from Pega Version 8.5

You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.

For more information, see Customizing predictions.

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