Published Release Notes

Visual enhancements and native search in UI-Kit 14

In addition to general bug fixes, UI-Kit 14 provides new font icons and enhancements to support Pega Infinity Mobile Client™ apps, such as a default native search configuration for finding case data. The improvements reflect the latest design trends and Pega Platform™ UI capabilities. By using UI Kit's sample end-user UI styling and components, you provide a consistent user experience across your applications.

In addition, the UI-Kit 14 introduces the following changes:

• The red triangle icon has been removed from error messages.
• The color of the calendar icon is now consistent with other icons.
• All caret down icons for auto-complete and multi-select lists use the caret-down.svg file.
• Checkbox alignment has been improved with the reduction of the left margin by 1px.
• The border-radius value has been reduced to 4px.
• The background and box shadow for rich text editor have been removed.
• The bottom margin for radio buttons has been removed.
• The header height of the None container format has been changed to 50px.
• The label font size has been changed to 14px.
• The label and border color have been slightly darkened.

Tertiary AJAX container support

Harnesses can now contain up to three AJAX containers which helps you to use the screen area even more efficiently and effectively organize content on the screen.

For more information, see Adding an AJAX container.

Fast-track change requests for high-priority business needs

Perform urgent rule updates through fast-track change requests. The new type of change requests supports addressing high-priority business needs and deploying them immediately, without the need to disrupt an ongoing revision.

For more information, see Release urgent business rule updates through fast track change requests (8.3) and Creating application overlays.

Customizable fonts for the native components of the mobile app

The mobile app executable files now include font packages, which provides more flexibility in replacing and customizing the fonts. You can now style the native header and the bottom bar more effectively, and improve readability or branding. In native elements, both text and icons support custom fonts.

For more information, see Configuring a custom font for the bottom bar.

References to parameters in text control

The enhanced Text control now supports referencing the parameters in the Property field, and a more flexible application of the Field Value, that you can now use in the Value field. As a result, you can now use more development options, increase reuse, and more accurately reference specific data.

For more information, see Adding a Text control.

Pagination for repeating dynamic layouts

Repeating dynamic layouts now support pagination, so that you can display extensive sets of data in smaller portions. Additionally, you can add custom icons or messages to inform users whether more data is available.

For more information, see "Pagination" in Configuration options for layouts.

Support for custom database tables in external Cassandra clusters

Pega Platform™ now supports a connection to external Cassandra clusters through a dedicated Database Table data set, which reduces the need for data ingestion and export. You can use custom tables that you store in your external Cassandra cluster in data flows for accessing and saving data. You can access your custom data model by mapping the model to a Pega Platform class.

For more information, see Connecting to an external Cassandra database through a Database Table data set.

Text analytics models editing and versioning

Pega Platform™ now supports editing and updating training data for text analytics models.

Pega Platform also supports the versioning of text analytics models. When you update the model, Prediction Studio creates an updated model version. You can then switch between the model versions.

Upgrade impact

In versions of Pega Platform earlier than 8.3, the training data for text models was stored in the database. In Pega Platform version 8.3 and later, the training data for text models is stored in Pega Repository. You cannot build new models without setting the repository. After the repository is set, all text models are automatically upgraded and will work normally.

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

After a successful upgrade, set the repository in Prediction Studio before building or updating any Natural Language Processing (NLP) models.  In Prediction Studio, click Settings > Text Model Data Repository.

For more information, see:

• Increase the accuracy of text analytics models by adding feedback data (8.3)
• Updating training data for text analytics models

Text analytics models migration

Pega Platform™ now supports the exporting and importing of text analytics models. For example, you can export a model to a production system so that it can gather feedback data. You can then update the model with the collected feedback data to increase the model's accuracy.

Upgrade impact

In versions of Pega Platform earlier than 8.3, the training data for text models was stored in the database. In Pega Platform version 8.3 and later, the training data for text models is stored in Pega Repository. You cannot build new models without setting the repository. After the repository is set, all text models are automatically upgraded and will work normally.

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

After a successful upgrade, set the repository in Prediction Studio before building or updating any Natural Language Processing (NLP) models.  In Prediction Studio, click Settings > Text Model Data Repository.

For more information, see:

• Increase the accuracy of text analytics models by adding feedback data (8.3)
• Exporting text analytics models
• Importing text analytics models

Prediction Studio notifications

Prediction Studio now displays notifications when adaptive or predictive models encounter problems. For example, if the performance of a model decreases suddenly, a notification appears, which you can use to immediately investigate the cause of the problem.

For more information, see Accessing Prediction Studio notifications and Prediction Studio notification types.