Optimized performance of decision strategies
Valid from Pega Version 8.2
Strategies that are part of data flows are now automatically optimized to achieve the best performance. You can also choose the properties that a strategy outputs to further increase the efficiency without additional strain on your hardware.
For more information, see Adding strategies to dataflows.
Analyze decision components with simulation tests
Valid from Pega Version 8.2
Gain a better understanding of how strategy components influence decision outcomes by using decision funnel explanations. By running simulation tests with the new Decision funnel explanation purpose, you can now break down the results of a decision funnel into granular analyses to assess how certain components and expressions influence the overall outcome.
For more information, see Interpret the decision funnel with simulation tests.
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.
New text analytics APIs for Intelligent Virtual Assistant
Valid from Pega Version 8.4
Pega Platform™ now provides text analytics APIs that separate Intelligent Virtual Assistant and text analyzers into independent modules. This solution prevents integration issues when you change your text analyzer configuration.
For more information, see Text analytics APIs.
Optimized performance of embedded decision strategies
Valid from Pega Version 8.4
The performance of embedded strategies has now been optimized so that these strategies take less time and fewer CPU and memory resources to complete. This enhancement increases the performance of cloud and on-premises deployments.
For more information, see About Strategy rules.
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.
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.