Published Release Notes

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

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.

Case outcome predictions in case types

Pega Platform™ introduces the use of machine learning and AI in Case Designer. You can now use predictions in case types, both in App Studio and Dev Studio. By using predictions, your application can predict various outcomes, such as the possibility of reaching a positive or negative case resolution, so that you can prioritize work, route cases according to risk, or optimize the case flow in other ways. You can use predictions when you create conditions in the condition builder, for example, when you define a business logic for routing assignments. 

For more information, see:

• Prioritize and route case work by predicting case outcomes 
• Predicting case outcome
• Creating predictions for case management

Virtual questions deprecated in 8.6

Following the improvements in Pega Intelligent Virtual Assistant (IVA), the creation of virtual questions is now deprecated and planned for removal. To avoid additional effort during updates to future releases, do not use deprecated features. For optimal application performance and efficient development of conversation processes, you now collect information from users by using the Ask a question smart shape.

For more information, see Adding a case type conversation process for a conversational channel and Asking a question in a case.

External data flow rules are removed

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.