Easier customer record management in Customer Profile Designer (early preview)
Valid from Pega Version 8.6
The new Customer Profile Designer module of Pega Customer Decision Hub™ makes it possible for marketing analysts and strategy designers to define the associated data for each customer context directly in the Pega Customer Decision Hub portal. It is also possible to define more complex associated data structures that use a custom data flow, or define associated data of different types, such as RDBMS and Cassandra, for the same customer context.
Customer Profile Designer is available in Pega Customer Decision Hub 8.6 version as an early preview version. The functionality will be further expanded in future releases.
For more information, see Manage customer records in Customer Profile Designer (8.6).
Text predictions simplify the configuration of text analytics for conversational channels
Valid from Pega Version 8.6
Enable text analytics for your conversational channels, such as email and chatbot, by configuring text predictions that manage the text models for your channels. This new type of prediction in Prediction Studio consolidates the AI for analyzing the messages in your conversational channels in one place and replaces the text analyzer rule in Dev Studio.
Through text predictions, you can efficiently configure the outcomes that you want to predict by analyzing the text in your channels:
- Topics (ticket booking, subscription cancellation, support request)
- Sentiments (positive, neutral, negative)
- Entities (people, organizations, airport codes)
- Languages
You can train and build the models that predict these outcomes through an intuitive process, and then monitor the outcomes through user-friendly charts.
For more information, see Predict customer needs and behaviors by using text predictions in your conversational channels.
Upgrade impact
Channels that you configured with text analyzers in the previous version of your system continue to work in the same manner after the upgrade to the current version. When you edit and save the configuration of an existing channel, the text analyzer rule is automatically upgraded to a text prediction. The associated text prediction is now an object where you can manage and monitor the text analytics for your channel. When you create a new channel in the upgraded system, the system automatically creates a text prediction for that channel.
What steps are required to update the application to be compatible with this change?
- Enable the asynchronous model building and reporting in text predictions through job schedulers that use the System Runtime Context (SRC) by adding your application to the SRC.
For more information, see Automating the runtime context management of background processes. - Enable model building in text predictions by configuring background processing nodes.
For more information, see Assigning decision management node types to Pega Platform nodes.
Extend PegaUnit setup and cleanup capabilities using custom fixtures
Valid from Pega Version 8.6
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.
Kafka data set enhancements
Valid from Pega Version 8.6
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.
External data flow rules are removed
Valid from Pega Version 8.6
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.