Published Release Notes

More specialized data fields

Pega Platform™ now provides more prescriptive and specialized options to reuse data, which replace data relationships. Now, to reuse information across your application, you can create a field that references a case type, a data object, data embedded in a case, or a data page. As a result, you do not need detailed knowledge about how your system stores data to successfully reuse information in your business processes.

For more information, see:

• Creating fields for capturing data
• Embedding data in a case
• Referencing a data page

Tabbed templates in portal authoring

Portal authoring in Pega Platform™ now includes tabbed templates that provide you with the tools to build complex user interfaces with less effort. The new templates help you save screen space and display the contents of your application in smaller, meaningful chunks.

For more information, see Configuring a tab-based landing page.

Support for calling a data transform from a case life cycle in App Studio and initializing data at case creation

You can now call a data transform from a case life cycle in a low-code way in App Studio. For example, when a customer wants to order the same product again, your application can reuse the shipping information from their previous order. Additionally, by configuring data initialization for a case type, you can prepopulate fields at case creation. For example, an application for a delivery service can apply the customer's preferred delivery options when a new case starts. These enhancements save time for developers because the system can initialize data and prepopulate fields in a case by reusing existing logic, and for customers, who do not need to manually enter their details every time.

For more information, see Calling a data transform from a case and Initializing data at case creation.

Update to Intelligent Virtual Assistant official names

To use better and more consistent names for conversational channels in Pega Platform™ and to help distinguish conversational channels from Pega Unified Messaging Edition™, Pega Intelligent Virtual Assistant™ (IVA) for Unified Messaging is now called IVA for Digital Messaging. Furthermore, the IVA for Web Chatbot is now officially called IVA for Legacy Webchat.

For more information, see Creating a Digital Messaging channel and Pega Intelligent Virtual Assistant features.

Ability to train the text analytics model based on email attachments

You can now train the text analytics model for Pega Email Bot™ based on training data from email attachments. As a result, you improve the natural language processing (NLP) analysis for your email bot so that your system detects the correct language, sentiment, topics, and entities from both the body of emails and their attachments. By default, you train the text analytics model based only on training data from the body of emails.

For more information, see Enabling training the model based on email attachments.

Data propagation for questionnaires in case types

Pega Platform™ now provides a tool to prepopulate answers in a questionnaire that runs in a case by propagating data from a parent case. At run time, specified questions in a questionnaire that users complete as part of case processing, can display answers by using information that users already provided in the parent case. As a result, you speed up the development of your application and help users process cases and complete questionnaires faster.

For more information, see:

• Deliver user-friendly questionnaires by prepopulating answers (8.6)
• Running a questionnaire in a case

Automatic packaging of cases for offline use

Newly created mobile channels now support automatic packaging of cases for use in offline mode. The packaging process includes case data from all native list pages that you create from offline-enabled case types and add to the navigation of your mobile app. Previously, automatic packaging was limited to assignments in the work list (and their related work items), and cases that were listed in the data page that you manually designated for packaging.

This enhancement improves the user experience for mobile app developers by ensuring that the data that is referenced in list pages for offline-enabled case types is automatically available for the users of your offline app.

Extend PegaUnit setup and cleanup capabilities using custom fixtures

The set up and clean up capabilities in the PegaUnit framework are now customizable through the use of custom fixtures. Custom fixtures extend the default testing functionality and allow you to define and implement specific runtime actions, such as running a specific test case during set up or sending an email after testing has completed execution. 

For more information, see Setting up and cleaning the context for a test case or test suite. 

Deprecated support for Pega Platform deployments on embedded Cassandra

If you use Pega Platform™ decision management capabilities, Pega Platform uses Cassandra as the underlying storage system for the Decision Data Store (DDS), which manages the Cassandra cluster and stores decision management data in a Cassandra database. Future versions of Pega Platform will no longer support deployments on embedded Cassandra. In Pega Platform version 8.6, deployments using embedded Cassandra are deprecated but still work. To ensure future compatibility, do not create any new installations using embedded Cassandra.

For information about how to configure Pega Platform to access an external database, see Defining Pega Platform access to an external Cassandra database.

Kafka data set enhancements

The Kafka data set is a high-throughput and low-latency platform for handling real-time data feeds that you can use as input for Pega Platform event strategies.

For better integration of Pega Platform with externally hosted Kafka, the following enhancements are implemented:

• Support for Kafka message keys and headers - extended values data format (JSON Data Transform, Apache Avro)
• Custom value processing
• Configuring topic names by using Application Properties
• Data-Admin-Kafka enhancements - supporting a wide range of connection properties

For more information, see Improve your Kafka data set with new enhancements.