Published Release Notes

Robotic Desktop Automation (RDA) support for Pega 7 applications

You can use Robotic Desktop Automation (RDA) to integrate and unify processes that run on a user's desktop to streamline work and free your staff to focus on higher-value, customer-oriented tasks. You can use automations to retrieve information from applications that run on the desktop and send them to your Pega 7 application, and you can also use automations to send information from your application to applications that run on the desktop.

In an example Call Center application, you can use an automation to retrieve information from a legacy application running on a customer service representative's (CSR) desktop and display it in your application. You can also send information that users enter in your application (for example, an address change) to an automation to update the legacy application.

​For more information, see:

• Configuring Remote Desktop Automation
• Robotic Desktop Automation

Data pages can source information from a robotic process automation

When you use robotic process automation (RPA), you can now configure data pages to source information from robotic automations so that you can connect your Pega® Platform application to legacy applications in your enterprise. By using automations to retrieve data and save it to a data page, you can use data virtualization to encapsulate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

Data pages can source information from a robotic desktop automation

You can now configure data pages to source information from robotic desktop automations (RDA). Using an RDA to source a data page allows you to connect your Pega Platform™ application to any application that is accessible from an end-user's desktop. By using automations to retrieve data and load it into a data page, you can use data virtualization to separate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

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.

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.