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.

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.

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.

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. 

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.

Support for seamless transitions between IVAs and customer service representatives

To ensure the best user experience in chat sessions with a Pega Intelligent Virtual Assistant™ (IVA), customer service representatives (CSRs) can now step in and take control of a chat session multiple times, when the chatbot is not capable of correctly answering the user. After the user problem is resolved, the CSR can seamlessly switch control of the chat session back to the chatbot.

Unified Messaging Desktop integration with Pega Platform

You can now use the Pega Unified Messaging Desktop™ customer service solution with a Pega Platform™ application so that customer service representatives (CSRs) and other users, such as managers, can respond to user requests more quickly and in a more consistent manner. With integrated Pega Unified Messaging Desktop, CSRs can escalate user requests from Pega Intelligent Virtual Assistants™ (IVAs) by using case processing and artificial intelligence alongside Pega Customer Service™

For more information, see Develop a single IVA channel to chat across different messaging platforms.

Conversation flow and smart shapes for the Digital Messaging chatbots

When creating Pega Intelligent Virtual Assistant™ (IVA) for Digital Messaging, chatbot developers can now use new conversation smart shapes in a dedicated flow, making the design process simpler, more robust, and intuitive. With the new smart shapes, the chatbot displays text messages or asks questions to users in one of several ways. In addition, developers do not have to create additional rules, switch tabs, or perform manual validation. You can associate the conversation flow that you create for your IVA with a business case, use the flow on its own, or reuse it in another conversation flow, improving the overall chatbot design process.

For more information, see Adding a stand-alone conversation process for a conversational channel, Adding a case type conversation process for a conversational channel, Editing the conversation smart shapes and Flow shapes.

Ability to forward emails in triage cases

When working on customer emails in the Email Manager or Case Manager portal, customer service representatives (CSRs) can now forward emails to additional stakeholders, for example, third-party vendors or sellers. As a result, CSRs that work with Pega Email Bot™ save time, improve responsiveness to customer inquiries, and make email triaging more efficient. The email bot keeps each forwarded email conversation in a separate email thread from the customer conversation, making the system more consistent and secure.

For more information, see Communicate with stakeholders on a customer query by forwarding emails and Forwarding emails to other stakeholders for an email bot.