Published Release Notes

Emit remaining event strategy data at the end of a data flow run

Data flows have been updated to prevent data loss in event strategies. By default, when a batch or a real-time data flow stops and it contains an event strategy with Tumbling windows, all of the events that are in the Tumbling windows are emitted. Event emission triggers further processing in the event strategy, like aggregations and joins.

For more information, see Enhancements to data flows that contain event strategies and Event Strategy rule form - Completing the Event Strategy tab.

Attach Content control enhancements

You can now use the Attach Content control in Pega^® Platform to configure compression options that limit the size of files created on a mobile device. For example, you can choose from predefined settings to limit video duration or image size. These settings apply when the user records a new video or takes a new photo, but they do not apply to prerecorded media.

Also, when attaching content to a custom mobile app, users can now select any type of file from any source that is available in the device's native file picker component.

For more information, see Configuring file size options for the Attach content control.

New aggregation functions in event strategies

You can use new functions in event strategies to build standard and complex aggregations. With new aggregation functions you can detect additional patterns in streams of data and deliver actionable insights.

For more information, see Adding aggregations in event strategies.

Continue batch data flow runs that failed and reprocess partitions with the failed records

You can now continue batch data flow runs that failed and complete them with failures. You can also identify all the records that failed during a batch data flow run that is completed with failures. After you fix all the issues that are related to the failed records, you can reprocess the failures by resubmitting the partitions that contain the failed records. This option saves time when your data flow run processes millions of records and you do not want to start the run from the beginning.

For more information, see Data flow run updates.

Decision Data Store and HDFS data set types become resumable

Decision Data Store (DDS) and HDFS data set have been enhanced to be resumable. As a result, data flow runs that reference Decision Data Store or HDFS data sets as their primary data source are now resumable. You can pause and resume such data flow runs.

For more information, see the Resumability of data flow runs section in Data flow run updates.

No video controllers displayed on Android 4.3 and earlier versions

When you preview a video clip within Pega^® Mobile Client on a mobile device that runs Android 4.3 or earlier versions, video controllers are not displayed in full-screen mode.

Integrate the intelligent interaction activity for text analytics into your application

Employ text analytics and machine-learning capabilities in multichannel applications by integrating the pyRunInteraction activity for content parsing and analysis. By calling this activity, you can automatically analyze any incoming text data, such as instant messages, posts, emails, and so on, to detect sentiments, categories, entities, or intents that can help you with automatic case creation and routing. For example, you can use this activity to populate case properties based on detected entities such as customer name, email address, and account number.

For more information, see Intelligent interaction in text analytics.

Update text analysis models during every interaction

While interacting with your customers through text-based communication channels (such as a Facebook chatbot or email), you can use an activity to provide feedback to a text analysis model by manually assessing whether the entities, categories, intents, and sentiments in the analyzed text were assigned to the expected class. By using this feedback input as training data, you can ensure that the accuracy of your text analytics models continuously improves.

For more information, see Feedback loop for text analysis.

Build predictive models with the genetic algorithm

A genetic algorithm solves optimization problems by creating a generation of possible solutions to the problem. In Pega^® Platform you can utilize the functionality of genetic algorithms by using the genetic algorithm model in the Analytics Center portal. With this type of predictive model, you can create highly predictive, non-linear models by selecting the best performing model from the last generation.

For more information, see Creating models and Creating a genetic algorithm model.

Change passwords from Pega Mobile Client

You can now change your Pega^® Platform password from a mobile device. After your password expires and you try to log in to a custom mobile app, Pega Mobile Client lets you define a new password and verifies it against active password policies.

For more information, see Enabling security policies.