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.

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.

Enhancing the performance of your Next-Best-Action strategy with globally optimized strategies

Starting in version 8.6, Pega Platform™ combines the versatility of Next-Best-Action Designer with strategy performance enhancements provided by using globally optimized strategies (GOS). Decrease the run time and memory usage of executing the Next-Best-Action strategy in batch or real-time scenarios by using the globally optimized strategies generated by Next Best Action Designer.

GOS is supported by Pega Platform's standard business change management process. GOS rules are automatically included in relevant revision packages.

For more information, see Enhance the performance of your Next-Best-Action strategy with globally optimized strategies (8.6).

Support for picklists with parameterized data pages in App Studio in Cosmos React UI

You can now use data pages with parameters to populate a property of the picklist type with filtered results in App Studio. For example, in a survey case type, you can use a parameterized data page to configure cascading drop-down controls in which the values in a secondary drop-down list are based on the value that the user selects in the primary drop-down list. With dynamically-sourced picklists, you get greater flexibility in configuring picklists, and users see more accurate values.

For more information, see link Dropdown control Properties — General tab.

Easier customer record management in Customer Profile Designer (early preview)

The new Customer Profile Designer module of Pega Customer Decision Hub™ makes it possible for marketing analysts and strategy designers to define the associated data for each customer context directly in the Pega Customer Decision Hub portal. It is also possible to define more complex associated data structures that use a custom data flow, or define associated data of different types, such as RDBMS and Cassandra, for the same customer context.

Customer Profile Designer is available in Pega Customer Decision Hub 8.6 version as an early preview version. The functionality will be further expanded in future releases.

For more information, see Manage customer records in Customer Profile Designer (8.6).