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

Upgraded selected third-party JAR files to support Pega Platform functionalities

Valid from Pega Version 8.6

Pega Platform™ 8.6 now provides upgraded versions of the JAR files that support various functionalities within the Platform, such as generating documents or PPTX files.

Upgrade impact

If you have custom implementations and use any classes from the upgraded JAR files directly in your code or through JAR APIs, after your upgrade to Pega Platform 8.6, your application might experience unexpected run-time behavior if the upgraded JAR version lacks any elements from the previous version. For example, custom implementations can typically include activities, functions, or non-autogenerated sections. Unexpected run-time behavior might also occur when you use a third-party library that has dependencies on the upgraded JAR files. If you use only default Pega Platform functionalities without any customizations, the JAR files continue to work correctly without any additional actions.

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

If you have any JAR customizations, ensure that you test the upgraded JAR files for compatibility and upgrade impact. The following table lists the upgraded JAR files that might impact your application:

JAR file nameUpgraded version
apache-mime4j-core0.8.3
apache-mime4j-dom0.8.3
commons-codec1.15
commons-collectionons44.4
commons:commons-math33.6.1
commons-compress1.20
commons-lang33.9
fontbox2.0.19
httpclient4.5.12
httpcore4.4.13
httpmime4.5.12
istack-commons-runtime3.0.8
jackson-annotations2.10.3
jackson-core2.10.3
jackson-databind2.10.3
jaxb-runtime2.3.2
java-libpst0.9.3
jcommaner1.78
junrar4.0.0
metadata-extractor2.13
openjson1.0.11
parso2.0.11
pdfbox2.0.19
poi4.1.2
poi-ooxml4.1.2
poi-ooxml-schemas4.1.2
poi-scratchpad4.1.2
slf4j-api1.7.28
xmlbeans3.1.0
xmpcore6.1.10

For more information, refer to the documentation of  your JAR provider.

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.

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