Published Release Notes

Support for the decisioning-enabled NLP text analyzer in IVAs and Email Bots

You can now use the new intelligent natural language processing (iNLP) text analyzer in Pega Intelligent Virtual Assistants™ (IVAs) and Pega Email Bots™. This advanced text analyzer is decisioning-enabled and empowers IVA or Email Bot for all conversational channels to provide smarter responses. The decisioning capability in the system integrates text analytics with strategies, prepositions, and interaction history, to provide the context for making better next-best-action decisions.

For more information, see Use the decisioning-enabled NLP text analyzer in IVAs and Email Bots, Defining advanced Facebook text analyzer configuration and Facebook channel behavior.

Upgrade impact

Existing channels remain with the current configuration, and their current functionality does not change. Channels created after the upgrade automatically use the new text analyzer.  

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

The new text analyzer is enabled or disabled using a new interactive API (iAPI) selection, which is selected by default for new channels. You can disable the iAPI for new channels if you want to maintain current functionality. You can also enable it for existing channels if you want to move existing channels to the new functionality.

Create and view application settings in App Studio

View your application settings on the new Application settings landing page in App Studio. The landing page displays the categories that you specified for your application settings. If you did not specify a category for an application setting, the application setting appears in the Uncategorized category. Additionally, when you create a new data type, the Data type wizard automatically creates an application setting for the base URLs and the authentication profile. On the Environment settings page, you can edit the application setting to specify a new name or category or accept the default values.

For more information, see Viewing application settings in App Studio and Preparing your data for production.

Upgrade impact

After a successful upgrade, you see the new Application Settings option under Settings in App Studio. 

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

1. If the label (Application Settings) conflicts with your existing extension, change the label by overriding the following field value:
   PEGA-EXT- EXPEXPLORER-SETTINGS-APPSETTINGS PYCAPTIONIEXTENSION!LABEL
2. If you need to disable the landing page and prevent it from appearing in App studio, change the following toggle to No:
   PegaRULES: DisableSettingsLandingPage

Support for multiple work queues in the Email Manager portal

Pega Email Bot™ now provides multiple work queues in the Email Manager portal. With this functionality, operators, such as customer service representatives, can now triage cases more efficiently by selecting different work queues. Operators have access to work queues only for the current Pega Platform™ application.

For more information, see Email Manager portal.

Improved data page performance

Data pages that are sourced from report definitions now support server-side paging. This functionality optimizes the performance and memory of data pages, making them more efficient at retrieving large lists of data. In addition to getting page indicators at the top of a grid, you can sort and filter columns in a grid in conjunction with paging. If you want the system to use server-side pagination, you can also enable pagination from the Data page rule form.

For more information, see Defining data page access.

Email supports Microsoft Graph

Email integration with Microsoft Office 365 now supports Microsoft Graph. By using Microsoft Graph, you can process inbound email more securely and avoid using less secure protocols, such as IMAP and POP3.

For more information, see Creating an email account.

Email listener enhancements for faster email processing

Enhanced email listeners now process more emails in less time. To increase throughput, you can configure email listeners to process several emails simultaneously, instead of one at a time.

For more information, see Creating an email listener.

Support for data page aggregation

You can now aggregate data from multiple sources for faster and easier implementations. With this feature, you can load data pages more easily without using an activity or data transform. 

For more information, see Creating a data page. 

Automatic model training when mapping entities to case properties in Email Bot

You can now initiate automatic feedback to entity models in Pega Email Bot™, during manual mapping of email content to a case property.

To enable automatic feedback, you set the Work-Channel-Triage.pyIsRuntimeFeedback rule to true in Pega Platform™. By default this feature is disabled. Enabling this feature ensures that the email bot is more responsive by automatically copying detected entities, such as names, locations, dates, and ZIP codes, to case type properties of a case type.

For more information, see Email triage, Email channel NLP model and Enabling the NLP model training for the email channel.

Email bots now support multiple languages

You can now configure Pega Email Bot™ to perform text analysis, use training data and triage emails in multiple languages, for example, English, French, German, and Spanish. By detecting topics and entities from emails in different languages, the system can suggest the correct business case and provide an email response in the user's own language.

For more information, see Selecting languages for an Email channel and Enabling automatic language detection for text analysis.

Supported artifacts section removed from repository rule form

The Supported artifacts check box has been removed from the repository rule form. Developers can use repositories to provide centralized storage, versioning, and metadata support for application artifacts.

For information about repository connections, see Creating a repository for file storage and knowledge management.