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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Support for the decisioning-enabled NLP text analyzer in IVAs and Email Bots

Valid from Pega Version 8.3

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

Valid from Pega Version 8.3

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

Valid from Pega Version 8.3

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.

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

Valid from Pega Version 8.5

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

Valid from Pega Version 8.5

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.

Condition builder enhancements

Valid from Pega Version 8.5

To enhance the precision of condition builder in both App Studio and Dev Studio, the new instances include comparator helps you specify the number of field group and field group list instances to which a when rule applies. In addition, a search option that returns results on keypress helps you easily look for existing values.

For more information, see Create conditions in an enhanced condition builder (8.5), Defining conditions in the condition builder.

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

Valid from Pega Version 8.5

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

Valid from Pega Version 8.5

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.

Support for nested Declare Trigger rules

Valid from Pega Version 8.5

Pega Platform™ now supports nested Declare Trigger rules so that you can conveniently create correlations between actions in your case types. Declare Triggers rules invoke an action when a specified event takes place in a case type. You can now design more complex scenarios faster by nesting more Declare Trigger rules that work in the context of running another Declare Trigger rule. For example, when a case participant changes a postal code in their personal details, a Declare Trigger rule runs and a respective customer service representative (CSR) receives an email. After the CSR receives the email, a nested Declare Trigger rule runs and your application creates a document with the updated personal details and attaches it to the case.

For more information, see Develop applications faster with nested Declare Trigger rules (8.5), Declare Trigger rules.

New database tables for email bots

Valid from Pega Version 8.5

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.

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