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.

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.

Reports with visualizations of performance and automation levels for the email bot

In the Email Manager portal, you can now use built-in reports to visualize Pega Email Bot™ performance and the automation levels that are related to received emails, triaged cases, and created business cases. You can plug the reports to display the report data in other portals, for example the Case Manager portal. Based on the information displayed in the reports, you can adjust the machine learning models to achieve greater automation in the system.

For more information, see Viewing the reports for the Email channel and Built-in reports for the email bot.

Improved experience when building an IVA and Email Bot in App Studio

Build your Pega Intelligent Virtual Assistant™ (IVA) and Pega Email Bot™ while working only in App Studio. This approach makes the design process easier and more intuitive, and saves you time. You can now modify the advanced text analyzer configuration while working in App Studio. In addition, if you have access to Dev Studio, you can edit the text analyzer rule from App Studio for your chatbot or email bot by clicking a link to open the settings in Dev Studio.

For more information, see Adding a text analyzer for an email bot and Adding a text analyzer for an IVA.

Triage cases archiving in the email bot (Pega Cloud Services)

For Pega Platform™ that is installed in Pega Cloud^® Services, you can configure Pega Email Bot™ to archive resolved triage cases that are older than a specified number of days. Archiving triage cases improves the overall performance of your system by reducing the primary storage consumption and cost because the system places such resolved triage cases in a secondary storage.

For more information, see Archiving resolved emails for an email bot (Pega Cloud Services).

Usability improvements in the Email Manager and Case Manager portals

Pega Email Bot™ customer service representatives (CSRs) working in the Email Manager, Case Manager, or Case Worker portals can now quickly reply to one recipient or to all recipients. CSRs can also view the sentiment analysis of an email (positive, negative, or neutral) for each received email, displaying the sentiment pattern for the entire email thread in a triage case. The email bot improvements add value for CSRs working in the portals and help them save time when responding to user requests.

For more information, see Understanding the email triage process and Replying to customers by email for an email bot.

New database tables for email bots

Pega Email Bot™ now uses two new database tables that make the system more reliable and improve system performance. The pc_work_triage table stores complete information about email triage cases for the email bot. The pr_index_tracktriageactions table stores information about captured actions in triage cases.

Upgrade impact

During an upgrade to Pega Platform™ 8.5, a dedicated job scheduler automatically migrates resolved and open triage cases to these email bot tables in the background. If you expose additional properties as database columns or expose additional custom columns in the pc_work table, you must prepare your application for this automated migration. For more information, see Migrating triage cases to new tables.

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

If the pc_work table in your application has no additional properties or custom columns, there is nothing to do; if it does, prior to an upgrade to Pega Platform 8.5, you must extend the pyPopulateColumnNamesExtension data transform to any exposed additional columns in legacy tables with this information.

For more information, see Database schema for email bot tables.

Optimized data schema upgrade

Several improvements have been made to optimize the speed of the data schema upgrade to help you experience minimal downtime during upgrade to Pega Platform 8.5™. The data schema upgrade process optimizations include the following improvements:

• Optimized database index creation during upgrade
• Optimized synchronization process to detect duplicate rules during the application import process
• A new upgrade setting for Pega Cloud® Services operators that reduces the time to upgrade clients that run large Pega applications, such as the CRM Suite

For more information, see Limit upgrade downtime with data schema upgrade improvements (8.5).