Published Release Notes

Use "alternate database" as report source

You can opt to use the the "alternate database" identified in the Reports Database field of the Data-Admin-DB-Table instance that supports the Applies To class of a report as the source for the report. This reduces the load on the database that serves your application when you run the report.

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.

Simple associations for quickly joining classes

Associations now have a simple mode. Use a simple association to quickly and easily join a class to another class. The simple association defines a left join, using a foreign key in the source class and the class key in the target class. Use an advanced association for all other conditions. In addition, simple associations are drawn in the Visual data model reporting mode to visualize the relationships that are available for reporting.

Upgrade impact

The new simple mode draws a map of where all the classes defined in the application rule are drawn as nodes. Relationships between the nodes that are defined by relevant properties are drawn as lines linking the two classes. This feature only includes Case and Data classes that are defined on the Application rule form's Cases and Data tab. It also only includes relevant fields for those classes in order to define the relationships from one class to another.

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

After a successful upgrade, add the data and case type classes to the application rule in Dev Studio to have the selected classes appear as a node. In addition, if you want a relationship to display as relevant, set the properties (of the class that defines that relationship) as relevant.

For more information, see Exploring the data model.

Association changes after upgrade

Associations now have a simple mode. Simple associations are those that join to only one class, use a left join, and have one filter condition to a class key in the target class. Existing associations that define a simple foreign key relationship are upgraded to simple associations when opened; all others are treated as advanced associations. All associations continue to work in reporting.

Making an association simple changes only one piece of metadata; all other data on the association rule is not affected.

Upgrade impact

The new simple mode draws a map of where all the classes defined in the application rule are drawn as nodes. Relationships between the nodes that are defined by relevant properties are drawn as lines linking the two classes. This feature only includes Case and Data classes that are defined on the Application rule form's Cases and Data tab. It also only includes relevant fields for those classes in order to define the relationships from one class to another. 

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

After a successful upgrade, add the data and case type classes to the application rule in Dev Studio to have the selected classes appear as a node. In addition, if you want a relationship to display as relevant, set the properties (of the class that defines that relationship) as relevant.

For more information, see Associations.

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.

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.

Case-insensitive filtering in reports

Filtering in reports is now case-insensitive, improving the reporting and searching experience. You can turn off case-insensitive filtering, for example, by using an activity. You might want to do this if your index is too big or if the length of time it takes for indexing impacts performance.

For more information on report filtering, see Editing filter conditions.

Improvements to email case triaging

Improvements to Pega Intelligent Virtual Assistant™ (IVA) for Email make the system more robust and user friendly. When you reply to emails in a triage case, you can forward the email, reply to all, and use the carbon copy (cc) and blind carbon copy (bcc) fields. You can also send Pulse messages to discuss an email case without exposing the information to external users. You are notified in the Email Manager and Case Manager portal if you receive Pulse messages. Even when an email case has been resolved and appears as read-only, you can still send Pulse messages.

For more information, see Email Manager portal and Email triage.

Improvements to the Email channel configuration and content analysis

To make the Intelligent Virtual Assistant™ (IVA) for Email more useful and easier to manage, you can track all the Email channel configuration changes that you or other operators make. The system now also detects defined entities and topics, not only in the contents of the email messages and its attached files, but also in the email subject field which improves the responsiveness of IVA to emails. You can map same text that appears in an email triage case to different entities. In previous versions of Pega Platform, only the email body was analyzed but with subject analysis, now the entire email is analyzed for topics and entities, including its salutation and signature.

For more information, see Tracking configuration changes in the Email channel and Enabling the analysis of subject field content during email triage.

Facebook and Web Chatbot configuration in the preview console

When you develop a Pega Intelligent Virtual Assistant™ (IVA) for Facebook or Web Chatbot, you can now teach interactive bot conversations by chatting with the bot in the preview console and guiding the artificial intelligence algorithm to the right responses. This ability greatly accelerates conversation development and simplifies configuration, while providing the developer with more transparency in the mechanisms that produce specific responses.

For more information, see Simulating a conversation and building a chatbot runtime and Testing and building a chatbot from the preview console.