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.

Business logic-based routing to process cases more efficiently

Process cases more efficiently by defining business logic-based routing options to route tasks to customer service representatives (CSRs) who have a specified availability or skillset. For example, you can ensure that a task is routed to a CSR with a high level of a German language if it is your business need. You can also create custom lists of operators and work queues to filter CSRs who can receive an assignment.

For more information, see Choosing an assignee at run time in Dev Studio, Choosing an assignee at run time in App Studio, Configuring business logic-based routing APIs.

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.

Task board enhancements for improved tracking of tasks

App Studio and end-user portals, such as Case Manager, now provide an enhanced task board which helps you improve collaboration on task resolution. For example, you can create a checklist within a task, and then update the checklist to inform other users about the progress of the task. Attach content to a task to ensure that all users have the information that they need, and to make tasks more meaningful. Now you can also categorize tasks, and then filter them by category, to quickly access relevant information.

For more information, see Monitoring and tracking tasks in Dev Studio, Monitoring and tracking tasks in App Studio.

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.

Improved rich user interface controls in IVA for Web Chatbot

In Pega Intelligent Virtual Assistant™ (IVA) for Web Chatbot, you can use additional rich user interface controls, such as the time and date picker or a simple form, to help users accomplish tasks more quickly and to limit errors. IVA for Web Chat can now also display a welcome message in the chat window, for example, to inform the user about the person with whom they are chatting.

For more information, see Streamline conversations in IVA for Web Chatbot with rich user interface controls.

Upgrade impact

The new Ul controls for Web Chatbot are enabled by default upon upgrade. If you do not want the controls enabled, you must disable them.

Also, if you have changed the styles for the welcome message, you may need to make changes to the welcome message to incorporate the new areas in the bot conversation area (such as quick replies).

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

Existing channels will behave as they did previously, so you should determine whether you want to use the new UI controls. If you want to use the new Ul controls, configure the new design-time options.

If you have changed the default styles for the welcome message, review the new settings to ensure that the welcome message is configured properly. 

Default filter settings for Pulse feed sources

Set default filters for Pulse messages, so that users see only relevant posts. Users can temporarily change these settings at run time to view messages from different feed sources, and restore the default settings by refreshing the page.

For more information, see Adding a feed source for the activity feed.    

Improved creation of When rules with the condition builder

Define conditions for When rules by using the condition builder view. You can create new or select existing values, and then group conditions with ANDs, ORs, or advanced logic. The condition builder does not support functions; the method for defining the conditions to use functions is the same as in the previous versions of Pega Platform™. 

For more information, see Defining conditions with a condition builder, Defining conditions for a When rule.

Ability to import and export Intelligent Virtual Assistant or Email Bot training data

You can now copy Pega Intelligent Virtual Assistant™ (IVA) or Pega Email Bot™ training data between Pega Platform™ application environments by performing an export and import action. Importing and exporting training data between Pega Platform application environments results in greater accuracy of entity detection. Entities are detected by the system in a chat conversation, including attachments, to help respond to the user correctly, and consist of proper nouns that fall into a commonly understood category such as a person, organization, or a ZIP code. The ability to copy training data also makes it easier to maintain IVA or Email Bot, and build its artificial intelligence.

For more information, see Copying training data to another environment and Copy training data and model to another IVA or Email Bot environment.