Published Release Notes

Flexible inputs in strategies

Decision parameters allow business users to influence the decision through flexible inputs that do not require changing strategies. System architects use extension points to configure the data model and user interface supporting decision parameters. Decision parameters are used in strategies, and changes to the values of decision parameters become immediately available without requiring any changes to the strategy.

The rule pxRunDecisionParameters supports the use of decision parameters through activities.

Enable business users to own parts of an enterprise application

Decision Manager functionality allows business users to own parts of an enterprise application within the boundaries defined by IT. PegaDM includes the Pega-DecisionManager ruleset that supports this functionality.

System architects define the boundaries for business users in the Decision Manager portal using revision management and proposition authorization facilities in Designer Studio. Access control is provided through custom roles, which system architects can create based on granular privileges. The Decision Manager portal provides business users with a controlled environment for the workflow, and the activities necessary to address the objectives of a revision.

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.

Addition of Data Access Tab to access control policy condition rules

You can now select associations and declarative index classes when creating access control policy condition rules. The Column source field in the policy condition can now accept properties from available associations and indexes. For ease of reference, the selected associations and indexes are available on the new Data Access tab. 

Using the new tab, you can build complex authorization models in which access restrictions for a class depend on the attributes present in the associated and indexed classes, along with the attributes in the current class. For example, a project management application can now separately maintain project lists for each operator and use that information to restrict read/write access to unique projects.

The information available on the new Data Access tab reflects rule form changes, which are similar to the existing functionality of the Report Definition in the Application Data Model. 

For more information, see Creating an access control policy condition.

Predictive models can drive predictions

You can use predictive models as the basis of your predictions. As a data scientist, you can now use Machine Learning Operations (MLOps) to replace models in your system. You can replace a model in a prediction with a PMML, H2O MOJO, or Pega OXL predictive model, as well as a scorecard or field, and then approve the update for deployment to a production environment. You can respond to a Prediction Studio notification that an active model does not generate enough lift and decide to replace the low-performing model with a high-accuracy model. You can also update a prediction on a regular basis, for example, whenever you develop a new churn model in an external environment.

For more information, see Replace models in predictions and migrate changes to production with MLOps.