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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.

Case notification enhancements

Valid from Pega Version 8.4

Pega Platform™ now supports creating case notifications directly in Case Designer in App Studio and Dev Studio, so that you do not need to create a notification rule first and then provide the rule name in a case. You can speed up and simplify case creation by specifying recipients for each notification, without the need to create a data page for the recipients. Push notifications and email subjects can now also include properties, for example, a case ID or a goal and deadline.

For more information, see Sending event notifications from cases in Dev Studio, Sending event notifications from cases in App Studio.

Improved and simplified field-level auditing

Valid from Pega Version 8.4

To track the progress of your work and maintain the compliance of your cases, both App Studio and Dev Studio now support field-level auditing for case fields. Your application tracks and displays information about user updates to scalar fields, field groups, and field group lists, at any level of your case data model. For example, you can check previous and current field values, the last user to change the values, and the time of their modification. 

For more information, see Track changes in cases with improved field-level auditing (8.4), Enabling field-level auditing in Dev StudioEnabling field-level auditing in App Studio.   

Creation of case documents in a case life cycle

Valid from Pega Version 8.4

To save time and further automate your business processes, Pega Platform™ now supports generating case documents as part of the case life cycle. You can ensure that the documents include all necessary information by first creating a document template in a word processor. When you create a template, you add dynamic tags that your application populates with relevant data unique to each case, for example, the case ID and current date. To make your documentation more meaningful, you can also include attachments.

For more information, see Generate case documents in a case life cycle (8.4)Generating case documents in Dev Studio, Generating case documents in App Studio.

New method of aggregating real-time events

Valid from Pega Version 8.4

Event Strategy now uses the approximate median for calculating aggregations. Approximate median calculation replaces the existing method because it requires fewer system resources for saving or loading the event strategy state. In addition, you can now calculate aggregated values by using a new Landmark window type. The window type captures all values of specific event properties from the start of the data flow that references the event strategy.

For more information, see Adding aggregations in event strategies.

Optimized performance of Proposition Filter rules using audience simulation tests

Valid from Pega Version 8.4

Improve the performance of your proposition filters by testing them against simulated audiences. You can check how many potential offers are being filtered by each condition of the filter, and discover if a particular criterion is too broad or too narrow for your requirements.

For more information, see Optimize the performance of your Proposition Filter rules with audience simulation tests (8.4).

Support for seamless transitions between IVAs and customer service representatives

Valid from Pega Version 8.4

To ensure the best user experience in chat sessions with a Pega Intelligent Virtual Assistant™ (IVA), customer service representatives (CSRs) can now step in and take control of a chat session multiple times, when the chatbot is not capable of correctly answering the user. After the user problem is resolved, the CSR can seamlessly switch control of the chat session back to the chatbot.

Enhancements to automations for defining Pega API contracts

Valid from Pega Version 8.4

With enhanced automations, you can now pass embedded pages, specify default values for optional input parameters, and define a set of values for inputs by using the picklist or enumerated field types. The new enhancements make your applications easier to define and maintain, and you can now provide callers of Pega APIs with a clear description of the API.

For more information, see Viewing automations.

Anypicker control in a condition builder

Valid from Pega Version 8.4

The condition builder now uses the Anypicker control to categorize the entities, such as fields or when conditions, that your application compares at run time. As a result, you can create conditions in a simplified and accelerated way. You can also select fields that are up to four levels deep within field groups.

For more information, see Create conditions faster with an Anypicker control (8.4)Adding an Anypicker controlDefining conditions in the condition builder.

Pulse configurations in the case type settings

Valid from Pega Version 8.4

In both App Studio and Dev Studio you can now configure Pulse in a simplified and user-friendly way, in the case type settings. Add Pulse posts to cases, define default and add new feed sources, and then customize the Pulse label, all without performing advanced actions, such as configuring sections. You can also define visibility conditions for each post type.

For more information, see Start collaborating faster with simplified Pulse configuration (8.4)Configuring Pulse for case types in Dev StudioConfiguring Pulse for case types in App Studio.

Extended language support in text analytics

Valid from Pega Version 8.4

Pega Platform™ text analytics now supports 9 more languages. You can build entity and topic detection models to analyze text in the Japanese, Russian, Turkish, Danish, Norwegian, Swedish, Polish, Croatian, and Czech languages. In addition, Pega Platform now includes a default small talk detection model for each of these languages.

For more information, see Language support for NLP and Out-of-the-box text analytics models.

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