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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.

Text predictions simplify the configuration of text analytics for conversational channels

Valid from Pega Version 8.6

Enable text analytics for your conversational channels, such as email and chatbot, by configuring text predictions that manage the text models for your channels. This new type of prediction in Prediction Studio consolidates the AI for analyzing the messages in your conversational channels in one place and replaces the text analyzer rule in Dev Studio.

Through text predictions, you can efficiently configure the outcomes that you want to predict by analyzing the text in your channels:

  • Topics (ticket booking, subscription cancellation, support request)
  • Sentiments (positive, neutral, negative)
  • Entities (people, organizations, airport codes)
  • Languages

You can train and build the models that predict these outcomes through an intuitive process, and then monitor the outcomes through user-friendly charts.

For more information, see Predict customer needs and behaviors by using text predictions in your conversational channels.

Upgrade impact

Channels that you configured with text analyzers in the previous version of your system continue to work in the same manner after the upgrade to the current version. When you edit and save the configuration of an existing channel, the text analyzer rule is automatically upgraded to a text prediction. The associated text prediction is now an object where you can manage and monitor the text analytics for your channel. When you create a new channel in the upgraded system, the system automatically creates a text prediction for that channel.

What steps are required to update the application to be compatible with this change?

  1. Enable the asynchronous model building and reporting in text predictions through job schedulers that use the System Runtime Context (SRC) by adding your application to the SRC.
    For more information, see Automating the runtime context management of background processes.
  2. Enable model building in text predictions by configuring background processing nodes.
    For more information, see Assigning decision management node types to Pega Platform nodes.

External data flow rules are removed

Valid from Pega Version 8.6

In previous versions of Pega Platform™, you could configure data flows to run in an external Hadoop environment. The external data flows functionality was deprecated and hidden from view in Pega Platform 8.5. The functionality has been now removed and is no longer available in Pega Platform 8.6.

For more information, see External data flow rules are deprecated.

Email approval and instantiation not supported on multitenant systems

Valid from Pega Version 7.2.1

The Enable email approval check box appears on the General tab of an approval step in Case Designer in multitenant systems. It also appears on the Approval shape in Designer Studio. In addition, in Designer Studio, the Settings tab in Case Designer displays the option to configure email instantiation. However, because configuring email listeners is not supported on multitenant systems, you cannot enable email approval or email instantiation.

Ignore locale settings requires refresh after server restarts

Valid from Pega Version 7.2.1

The Ignore locale check box in operator preferences is selected to display Designer Studio in U.S. English. After a server restarts, screens initially ignore this setting. When the screen is refreshed or reopened, the screen is rendered as expected.

Flexbox-based dynamic layouts not supported for Android 4.4 and earlier

Valid from Pega Version 7.2.1

Flexbox-based dynamic layouts are not supported in Android 4.4 and earlier. When developing applications to be used on devices running Android 4.4 and earlier, use the inline-block layout mode for dynamic layouts.

MBean Javadocs download file

Valid from Pega Version 7.2.1

The Pega 7 Platform MBean Javadocs are no longer provided in the distribution image; however, you can download the MBeanJMXJavadoc.zip file that was previously provided in the distribution image.

You can also use JConsole, which is included with the Java Development Kit (JDK), to obtain MBean information. The JConsole MBean tab provides attributes, operations, notifications, and other information on all the MBeans that are registered with the MBean server.

Cannot send mobile push notifications when the Pega 7 Platform is hosted on WebSphere Application Server

Valid from Pega Version 7.2.1

Push notifications are not sent to Android or iOS mobile apps when the Pega 7 Platform is hosted on WebSphere Application Server.

The UpdateAdaptiveModels agent causes an exception after Pega 7.2 to 7.2.1 upgrade

Valid from Pega Version 7.2.1

After the Pega 7 Platform is upgraded from version 7.2 to 7.2.1, the log files might show an error that is caused by the UpdateAdaptiveModels agent. This agent is enabled by default and is responsible for updating scoring models in the Pega 7 Platform. If you use adaptive models in your solution, you can avoid this error by configuring the Adaptive Decision Manager service. If you do not use adaptive models, disable the UpdateAdaptiveModels agent.

For more information, see Configuring the Adaptive Decision Manager service and Pega-DecisionEngine agents.

Reconfiguration of the Adaptive Decision Manager service after upgrade to Pega 7.2.1

Valid from Pega Version 7.2.1

After you upgrade the Pega 7 Platform to version 7.2.1, you need to reconfigure the Adaptive Decision Manager service. Beginning with Pega 7.2.1, the Adaptive Decision Management (ADM) service is native to the Pega 7 Platform and is supported by the Decision data node infrastructure.

For more information, see Services landing page.

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