Published Release Notes

Accessibility improvements

Several improvements are now available that enable application accessibility. These improvements affect the wait indicator, overlays, and collapsible layouts.

The wait indicator, or throbber, announces its status to an assistive technology such as JAWS.

• When loading, the throbber announces “Loading content” or other text that can be edited in the pyThrobberLoadingText property.
• When loading is completed, the throbber announces “Loading completed” or other text that can be edited in the pyThrobberLoadingCompletedText property.
• The loading announcement is set by default to a three-second delay, which can be modified in the pyThrobberAnnouncementDelay property.

Overlays are announced by an assistive technology and overlay content can be tabbed through by using the Tab key without closing the overlay. Overlays can be closed by pressing the Esc key. This behavior applies to all overlays and modal dialog boxes that are opened as local actions and popovers that are part of the autogenerated UI.

All users, including those not using an assistive technology, can focus the expand and collapse feature of a layout by using the Tab key. The expanded or collapsed state is announced by screen readers.

Date control for past and future years

The Date control can be configured to show only past dates, only future dates, or any date range that includes the current year. The Display range can be set to include a configurable range of previous years or next years. The number of years is relative to the user’s date.

Enabling run-time edit in Live UI

When you inspect a rule with the Live UI tool, you can enable editing if editing has not yet been enabled for the application. The Enable live editing link at the top of the property panel adds a run-time edit branch to the current application's definition. A similar option is available when you add or move elements by using Live UI.

Stage-based revision and change request management enhancements

The revision and change request processes are based on the case management capabilities provided by the Pega 7 Platform. The customizable flows that controlled the behavior of the revision and change request management (pyManageRevision, pyManageChangeSet, pyApproveChangeSet, and pyDirectDeployment) are now part of the Revision and Change Request case types that govern the behavior of revision management. The change from flow-based to stage-based revision management makes the process more transparent and easier to modify.

For more information, see Stage-based revision and change request management.

Help now available for the Predictive Analytics Director (PAD) portal

Help topics for Predictive Analytics Director (PAD) are now available. The comprehensive PAD documentation helps you to understand how to develop and create predictive models that you can combine with other components in Decision Strategy Manager (DSM).

For more information, see Predictive Analytics Director (PAD) and Improvements to the Predictive Analytics Director (PAD) portal.

Introducing the proximity widget

You can use the new proximity widget to display on a map the open cases that are within a certain distance of your current location. You can configure the widget to show open cases within a radius of up to 50 miles.

For more information, see Proximity widget.

Improvements to Visual Business Director (VBD)

Business monitoring and reporting no longer depends on the external Visual Business Director service because VBD is now embedded in the Pega 7 Platform. You add a VBD node to the cluster to access VBD for simulations and monitoring. In addition, when you use the Google Chrome browser, VBD launches as a new HTML client that provides the visualization.

For more information, see The Visual Business Director (VBD) HTML client and Accessing Visual Business Director (VBD).

New Proposition Filter rule

Instances of the Proposition Filter rule allow you to define the validity, eligibility, and relevancy criteria for a set of strategy results. Proposition Filter rules improve performance of filtering propositions that are based on proposition data and customer properties. Proposition filters give more testing and debugging capabilities by offering explanation properties. They are referenced in strategies through the Filter component.

For more information, see About Proposition Filter rules and Strategy components - Arbitration.

New Text Analytics landing page

The Text Analytics landing page allows you to create the sentiment and classification text analysis models using a wizard. The wizard allows you to upload training data, train a model using different algorithms, analyze the accuracy of the model, and export the model. You can also create a binary rule file that contains the model and upload it as part of taxonomy or sentiment decision data.

For more information, see Text analytics functionality enhancements.

Free Text Model rule form enhancements

Enhancements to the Free Text Model rule in DSM expand the text analysis functionality. On the Select Analysis tab, you can include text analysis models in the sentiment or classification analysis. This option enables the combination of rule-based and machine-based learning approaches in text analysis and provides more accurate and reliable results. On the new Advanced tab, you can configure language detection settings, enable spell checking, set the score range for the neutral sentiment, and control the text categorization settings based on various criteria.

For more information, see Text analytics enhancements.