Published Release Notes

Support for multiple custom mobile apps for a Pega Platform application

To enhance the user experience and provide support for native mobile components, you can create multiple custom mobile apps for a Pega Platform™ application. For each custom mobile app, you must create a different mobile channel interface. In addition, you can configure each custom mobile app to run only in a specific portal for an application. The custom mobile app uses this portal regardless of which default portal is defined for the access group.

For more information, see Selecting a portal for a custom mobile app.

Use repositories as sources for File data sets

You can configure remote repositories, such as Amazon S3 or JFrog Artifactory, or a local repository, as data sources for File data sets. By referencing an external repository from a File data set, you enable a parallel load from multiple CSV or JSON files, which removes the need for a relational database for transferring data to Pega Platform™ in the cloud.

For more information, see Creating a File data set record for files on repositories and Configuring a remote repository as a source for a File data set.

Define a taxonomy by using the Prediction Studio interface

Create a topic hierarchy and define keywords for each topic in Prediction Studio faster and more intuitively than by editing a CSV file. If you have already defined a taxonomy in a CSV file, you can import that file and modify existing topics and keywords by using the Prediction Studio interface.

For more information, see Creating-keyword-based topics for discovering keywords and Tutorial: Configuring a topic detection model for discovering keywords.

Changes in large data page support in offline-enabled custom mobile apps

You can now create offline-enabled custom mobile apps that store reference data in large data pages that are sourced from report definitions, even if these report definitions return no records. Synchronization of these custom mobile apps does not fail. Also, you can now use page type properties as large data page properties.

For more information, see Creating and sourcing large data pages to store large reference data in offline-enabled applications and Custom populator JavaScript functions for large data pages.

Troubleshooting offline-enabled applications in a browser

You can now troubleshoot offline-enabled applications by using the Tracer tool and developer tools that are available in a web browser. You can troubleshoot scripts that are running when the application is running, without having to use additional debugging tools.

For more information, see Application debugging using the Tracer tool, Troubleshooting offline-enabled applications with the Tracer tool in a browser, and Offline capability.

Improved performance of decision strategies

Strategy rule performance has been improved through the implementation of a new engine. You can perform single and batch test runs to analyze strategy performance, locate and prevent potential issues, and optimize strategy components. Test runs now support data sets and data flows with multiple key properties. The redesigned Test run panel improves the display of information and highlights the most immediately relevant details.

For more information, see Configuring a single case runs and Configuring a batch case runs.

Extract summaries from the analyzed text

You can now configure a Text Analyzer rule to extract information-rich blocks of text from the analyzed content and combine them into a comprehensive and coherent summary. By summarizing large documents, such as emails, you can facilitate making business decisions without having to read an entire document. In Text Analyzer rules, you can combine summarization with other types of text analysis, such as topic or entity detection, to extract the full context from a message.

For more information, see Configuring text extraction analysis and Tutorial: Extracting email context with Text Analyzer rules.

Support for native search in custom mobile apps

To improve the overall user experience in a custom mobile app, you can configure native search in the user interface of the application. To use the search capability, first configure the pySearchConfiguration rule. This rule allows you to optionally define a set of search categories as a local data source. You then configure the mobile search action for any user interface control, for example, a button in a section. Users can tap the search field to see the most recent search results, including results that are grouped by categories, as they enter search text.

For more information, see Native search capability in custom mobile apps and Configuring search in custom mobile apps.

Enhanced Pulse performance and layout on mobile devices

Pulse performance is now faster on mobile devices. The user interface has been enhanced to enable better collaboration among users. The new Pulse mobile layout provides a better user experience for posting messages, adding attachments, bookmarking content, and so on.

For more information about Pulse, see:

• App Studio – Communicating with users by using Pulse
• Dev Studio – Communicating with users by using Pulse

Support for when rule in offline-enabled applications

You can use when rules in offline-enabled applications without creating custom JavaScript code. Using when rules reduces the offline-enabled application implementation time by further automating case processing in offline mode and deriving the logic directly from the model. No additional configuration is required to use when rules in offline mode.

For more information, see When rule support in offline mode.