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Published Release Notes

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This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Organization Setup superseded by New Application Wizard

Valid from Pega Version 7.1.3

The Organization Setup Wizard has been retired in PRPC 7.1.3.  This feature was previously launched from the Designer Studio > Org & Security > Organization > Organization Setup menu. Users are encouraged to run the New Application Wizard (also known as Application Express) instead:

NewAppWizard.jpg

This tool quickly generates an application along with all of the artifacts previously offered by the Organization Setup Wizard. This includes, but is not limited to, the class hierarchy, application rule, organization/division/unit rules, and all relevant data instances.

See the following PDN article for more details on the New Application Wizard:

Create new applications quickly and easily with Application Express

Use repositories as sources for File data sets

Valid from Pega Version 8.1

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.

Identify team members working on a rule

Valid from Pega Version 8.1

By using the team collaboration widget, you can see who on your development team is working on the rule that you are viewing. This widget is displayed in the section header when you are using the Case Designer, Data Designer, or Channels and interfaces configuration pages. When you update a page, a notification is sent to other collaborators stating that the content has been updated and prompting them to refresh to see the latest content.

Define a taxonomy by using the Prediction Studio interface

Valid from Pega Version 8.1

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.

Troubleshooting offline-enabled applications in a browser

Valid from Pega Version 8.1

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

Valid from Pega Version 8.1

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

Valid from Pega Version 8.1

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.

Test ID added to repeating dynamic layouts

Valid from Pega Version 8.1

A unique Test ID property has been added to repeating dynamic layouts to support automated testing, enabling you to write dependable automated tests against any Pega application. By including this unique identifier in your automated testing, you ensure a higher level of productivity and reliability within your applications.

For more information, see Test ID and Tour ID for unique identification of UI elements.

Relevant records management shows more information

Valid from Pega Version 8.1

Relevant records for a class now include more information that you can use to manage the records for your application development. As a result of these enhancements, you can:

  • View inherited and inactive relevant records for the specified class.
  • Mark specific records as active or inactive for the specified class.
  • Mark specific records as relevant on the rule form.

You can use these new details to filter the list of relevant records for a class on the Relevant Records tab of the selected class. For more information, see Managing relevant records and Marking records as relevant records.

Additional adaptive model predictors based on Interaction History

Valid from Pega Version 8.1

Customer interactions are now automatically used in adaptive models to predict future customer decisions. For example, a phone purchase registered in Interaction History allows an adaptive model to predict that a customer is more likely to accept supplementary coverage for a new device. Such interactions, collected in a predefined Interaction History summary, are applied as an additional set of predictors in an adaptive model.

The aggregated Interaction History summary predictors are enabled by default for every adaptive model configuration.

For more information, see Enabling Interaction History predictors for existing adaptive models.

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