Published Release Notes

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.

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.

Support for rich user interface controls in IVA for Web Chatbot

You can now use rich user interface controls in Pega Intelligent Virtual Assistant™ (IVA) for Web Chatbot because Pega Platform™ includes a framework for advanced user interface controls. You can use a date picker control and add file attachments while chatting with the chatbot. These features provide a richer and more robust user experience and they help the user accomplish tasks more quickly without the need for complex validation messages.

For more information, see Use rich user interface controls in Web Chatbot.

Support for rich HTML text in IVA for Email

Pega Intelligent Virtual Assistant™ (IVA) for Email now supports rich HTML text in email conversations, which enhances the overall user experience. You can enable this option in the Email channel configuration in IVA for Email to display rich text in email conversations for case triaging. Natural language processing (NLP) analysis works flawlessly in scenarios for all email content that contains rich HTML text.

For more information, see Enabling rich HTML text in emails.

Multiple actions triggering during intelligent email routing

Pega Intelligent Virtual Assistant™ (IVA) for Email now supports triggering of multiple actions during the intelligent routing of incoming emails, which improves the artificial intelligence capability of IVA for Email so that it is more responsive to user input. For example, you can set up intelligent routing for an Email channel to trigger multiple actions, such as creating a case and automatically replying to an email for the content that you receive.

For more information, see Intelligent email routing, Configuring routing conditions for automatic email handling, and Setting up intelligent routing in Intelligent Virtual Assistant for Email.

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.

Updated default dynamic system setting for requestor pools

Clients can now enable or disable requestor pools for processing service requests using a new dynamic system setting called EnableRequestorPools with Pega-IntegrationEngine as the owning rulest. Previously, all deployments utilized requestor pools to improve service processing response efficiency; requestor pools eliminated overhead by automatically returning a requestor to the pool after it fulfills a service request. Starting in Pega Platform 8.4, requestor pools are disabled in Client-managed cloud deployments, since these deployments use autoscaling to handle service request traffic. Enabling requestor pools in Kubernetes environments is not recommended, because they can inhibit the default autoscaling settings in the environment.

Requestor pools remain enabled by default in Pega Cloud and on-premises environments.

To help clients navigate this change, Pega has updated its best practice guidance for configuring requestor pools. For an overview, see Requestor pooling for services. For guidance on the use of requestor pools in your application, see the EnableRequestorPools entry in Dynamic system settings data instances.

Upgrade impact

Requestor pools are disabled by default in Pega Platform 8.4 in client-managed cloud deployments. Clients who deployed previous versions of Pega Platform on a Kubernetes environment and who upgrade to Pega Platform 8.4 could see that their services behave differently.

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

If clients that are deployed in a Client-managed cloud environment need to configure their services to use requestor pools and they understand how to configure requestor pools for their optimized use, these clients can re-enable requestor pools. Clients should review the best practice for configuring requestor pools before they re-enable requestor pools. To re-enable requestor pools, you modify the EnableRequestorPools setting in the Pega-IntegrationEngine Owning ruleset from “disabled” to Enabled [no value]. For details, see Editing a dynamic system setting.