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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

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.

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.

Historical data extraction for adaptive models

Valid from Pega Version 8.4

Adaptive models now support the extraction of historical customer responses for offline analysis. Additionally, you can use the historical data to build a model in a machine learning service of your choice.

For more information, see Extract historical responses from adaptive models for offline analysis (8.4).

Improved reliability of Visual Business Director

Valid from Pega Version 8.4

Improvements to the reliability of Visual Business Director (VBD) eliminate the impact of temporary access loss to the VBD cluster. The improvements include the ability to continue writing data to a VBD dataset while the corresponding server node is unavailable, enhancements to single-case data flows that write data to VBD, and a reduction in the VBD cache size.

For more information, see Eliminate the impact of temporary access loss to the VBD cluster (8.4).

Strategies are now available as a condition type in proposition filters

Valid from Pega Version 8.4

When designing proposition filters, you can now include strategy outcomes as a condition to be evaluated. Select a strategy and specify the component that you want to use as output to include more advanced decisioning in your proposition filters.

For more information, see Enrich your Proposition Filter rules with conditions based on strategy results.

Default text analytics model for detecting small talk

Valid from Pega Version 8.4

Enhance your web chat experience by configuring chatbots to detect small talk. Pega Platform™ provides the default model that is a topic detection model, available for English, German, Spanish, Dutch, Portuguese, Italian, and French.

For more information, see Configure your chatbot for small talk.

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