Editable list of build-on application features
Valid from Pega Version 8.4
Pega Platform™ now provides you with an option to edit the list of features in your application stack. Now you can define the order of the features to generate application documentation that lists the features by their priorities instead of the time of creation. For example, you can reorder the features when you want to communicate to your stakeholders which elements are top priorities.
For more information, see Learning about feature order.
Connect to Amazon SageMaker models in Prediction Studio
Valid from Pega Version 8.4
Make the most of your custom Amazon SageMaker models in Pega Platform™ by connecting to the models in Prediction Studio. You can then run the Amazon SageMaker models as part of your decision strategies.
For more information, see Enrich your decisioning strategies with H2O and Amazon SageMaker predictive models (8.4).
Import H2O models to Prediction Studio
Valid from Pega Version 8.4
Make the most of your custom H2O models in Pega Platform™ by importing them to Prediction Studio. You can then include the H2O models in your decision strategies.
For more information, see Enrich your decision strategies with H2O and Amazon SageMaker predictive models (8.4).
Support for auditing adaptive model decisions
Valid from Pega Version 8.4
Pega Platform™ now stores all adaptive model scoring data so that you can identify the source of each decision, such as the exact model version that was used for scoring. With this feature, you can ensure that your application is auditable, transparent, and in compliance with regulatory requirements related to using adaptive models.
For more information, see Configuring the Adaptive Decision Manager service.
Create predictions in Prediction Studio
Valid from Pega Version 8.4
Predict customer behavior and business events by creating predictions. To create a prediction, you answer a series of questions about what you want to predict. For example, you can create a prediction to determine the likelihood of customer churn.
For more information, see Create predictions in just a few clicks (8.4).
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.
Anypicker control in a condition builder
Valid from Pega Version 8.4
The condition builder now uses the Anypicker control to categorize the entities, such as fields or when conditions, that your application compares at run time. As a result, you can create conditions in a simplified and accelerated way. You can also select fields that are up to four levels deep within field groups.
For more information, see Create conditions faster with an Anypicker control (8.4), Adding an Anypicker control, Defining conditions in the condition builder.
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.