Published Release Notes

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.

Add additional columns to customized work history tables

The standard work history table, pc_history_work, contains two new columns that return the latitude and longitude coordinate location of the action that prompted the history. Mobile devices can display this location as a street address. If you have a customized work history table, add these two columns to it:

• <decimal name="pxLatitude" size="19" scale="9"/>
• <decimal name="pxLongitude" size="19" scale="9"/>

Microsof Internet Explorer 9 (IE9) may display a script error when clicking a Help button

A script error may be displayed when clicking a Help button when script error notification is turned on in the browser. As a work around, uncheck the Display a notification about every script error option in the Advanced tab of the Options dialog box in Microsoft Internet Explorer 9.

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.

BIX ruleset is now included with Pega Platform

The Pega Business Intelligence Exchange™ (BIX) ruleset is now included with Pega Platform™, which eliminates the need for additional provisioning for Pega Cloud customers and for a separate BIX installation for on-premises customers. To add BIX to your application, add the Pega-BIX:<version> ruleset to your application rulesets.

For more information, see Data extraction.

Upgrade impact

After a successful upgrade, the BIX ruleset is available within Pega Platform. You should synchronize the BIX ruleset and Pega rules to avoid extraction errors.

What steps are required to update the application to be compatible with this change?

After the upgrade is complete, change the ruleset version for Pega Platform and BIX to use the same, latest version.

Set a time zone for the DateTime control

The DateTime control now supports the selection of a specific time zone. Apart from the default local time zone, you can choose a Java-supported time zone or enter a property. For example, you can make it easier for a manager working in New York to schedule a task for a worker in London by configuring a calendar picker on user forms to show a date and time for Europe/London.

Beginning with this release, the calendar picker defaults to the current time in the time zone that is defined in the operator record. Previously, it defaulted to the local time zone of the system.

For more information, see Specifying a time zone for a DateTime control.

Upgrade impact

After a successful upgrade, the DateTime gadget displays the time in the current operator's locale, which is defined on the operator rule form or in the browser.  

What steps are required to update the application to be compatible with this change?

If you need to display the system time from which the user has logged in, and if this is not the same as the time in the user's locale (based on the browser setting), set the Locale field in the operator ID to be blank so that the browser-based setting and the displayed time are the same as the system time.

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.