Integrate text analytics with decision strategies through the Interaction API
Valid from Pega Version 8.3
The Interaction API provides more context for making next-best-action decisions by integrating text analytics with decision management components such as strategies, propositions, and interaction history. By including natural language processing in your decisioning solution through the Interaction API, you ensure that the next-best-action decisions that you make are more informed and accurate.
For more information, see Customizable Interaction API for text analytics.
Support for machine learning as a service models
Valid from Pega Version 8.3
In Pega Platform™, you can now run advanced machine learning and artificial intelligence models that you develop in third-party tools. By configuring a connection with an external machine learning as a service provider, such as Google AI Platform, you can use the predictive power of your custom models to improve the predictions in your customer strategies.
For more information, see Connecting to a Machine Learning as a Service model and Configuring a machine learning service connection.
Stream-based alternative for interaction history
Valid from Pega Version 8.3
Accelerate the processing of high-volume interaction history data by incorporating a stream-based interaction history into your application. A stream-based interaction history processes large volumes of data more quickly than a traditional relational database interaction history so that you can react to your customers' needs in real time.
For more information, see Process high-volume interactions more efficiently and Aggregates-only mode for a stream-based interaction history.
Aggregates-only mode for a stream-based interaction history
Valid from Pega Version 8.3
Activate the aggregates-only mode to efficiently transition your application from a relational database interaction history to a stream-based interaction history. By transitioning from a traditional relational database interaction history to a stream-based interaction history, you enable your application to process large volumes of data more quickly so that you can react to your customers' needs in real time.
For more information, see Transitioning to a stream-based interaction history.
Ensure event strategy reliability through unit tests
Valid from Pega Version 8.3
You can now automate event strategy testing and increase the reliability of the event strategy configuration through unit tests. Avoid errors and ensure that the strategy delivers the expected results by configuring assertions on property values, aggregates, and result counts.
For more information, see Increased event strategy reliability through unit testing.