Published Release Notes

Predefined inputs when designing and testing strategies

External input settings allow for propagating results to other strategies, providing strategy designers with a mechanism to reuse strategies and test strategies with predefined inputs.

Design segmentation trees in strategies

You can include the traditional segmentation tree pattern in your strategies using the following features:

• Exclusion components to conditionally stop the propagation of decision results.
• Split components to branch the decision results according to the percentage of cases covered by the result.
• The Otherwise label for component connections where one of the outgoing connections has a defined label.

Simplified Adaptive Decision Manager Deployment

The Adaptive Decision Manager (ADM) server relies on automatic detection of the database dialect. This simplifies the number of deployable archives used to set up the ADM service.

Cumulative calculation in strategies

Iteration components provide strategies with a mechanism to perform cumulative calculations.

User interface distortions in the Decision Manager portal

By default, the New Application wizard in Pega 7.1.6 configures new applications to include UI-Kit-7 in the list of application rulesets. This ruleset causes user interface distortions in the Decision Manager portal. Both applications created in previous maintenance level updates and applications created in Pega 7.1.6 that do not include the UI-Kit-7 dependency are not impacted by this known issue.

Workaround:

1. Open the application record.
2. In Application Rulesets, remove UI-Kit-7.
3. Save the application record.

User interface distortions in the Predictive Analytics Director portal

By default, the New Application wizard configures new applications to include UI-Kit-7 in the list of application rulesets. This ruleset causes user interface distortions in the Predictive Analytics Director portal. Applications created in maintenance level updates previous to Pega 7.1.6, and applications that do not include the UI-Kit-7 dependency, are not impacted by this known issue.

Workaround:

1. Open the application record.
2. In Application Rulesets, remove UI-Kit-7.
3. Save the application record.

Prediction Studio notifications

Prediction Studio now displays notifications when adaptive or predictive models encounter problems. For example, if the performance of a model decreases suddenly, a notification appears, which you can use to immediately investigate the cause of the problem.

For more information, see Accessing Prediction Studio notifications and Prediction Studio notification types.

Production data sampling and migration for decision strategy simulations

Pega Platform™ now supports the sampling and migration of data from the production environment to the simulation environment. The data that is migrated for simulations includes customer details, Adaptive Decision Management information, and interaction history. By running a simulation on that sample data in Pega Marketing™ or Pega Customer Decision Hub™, you can verify how the changes to your decision logic impact the results. You can use that information to optimize and adjust your decision algorithms and processes.

For more information, see Deploying sample production data to a simulation environment for testing.

Integrate text analytics with decision strategies through the Interaction API

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

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.