Published Release Notes

Enhancing the performance of your Next-Best-Action strategy with globally optimized strategies

Starting in version 8.6, Pega Platform™ combines the versatility of Next-Best-Action Designer with strategy performance enhancements provided by using globally optimized strategies (GOS). Decrease the run time and memory usage of executing the Next-Best-Action strategy in batch or real-time scenarios by using the globally optimized strategies generated by Next Best Action Designer.

GOS is supported by Pega Platform's standard business change management process. GOS rules are automatically included in relevant revision packages.

For more information, see Enhance the performance of your Next-Best-Action strategy with globally optimized strategies (8.6).

Support for picklists with parameterized data pages in App Studio in Cosmos React UI

You can now use data pages with parameters to populate a property of the picklist type with filtered results in App Studio. For example, in a survey case type, you can use a parameterized data page to configure cascading drop-down controls in which the values in a secondary drop-down list are based on the value that the user selects in the primary drop-down list. With dynamically-sourced picklists, you get greater flexibility in configuring picklists, and users see more accurate values.

For more information, see link Dropdown control Properties — General tab.

Outbound email templates for email bots

Pega Email Bot™ now provides built-in templates for outbound email and an option to create your own, custom templates. You can use this feature to standardize branding for your applications and the company through your communication channels. For example, customer service representatives (CSRs), who use the Email Manager or Case Manager portals, can apply these templates to strengthen your brand's presence in every email that they send or that the email bot automatically sends as an acknowledgment for a user email.

You select an outbound email template when you configure the Email channel. The system provides you with three built-in outbound email templates that you can select or modify to fit the requirements of your organization.

For more information, see Creating an Email channel and Creating outbound email templates.

Association of incoming emails with triage cases

Customer service representatives (CSRs) can now associate an email triage case with existing business cases or service requests. As a result, CSRs can respond more quickly to information about the same issue reported by customers several times. The system displays a list of related service cases for the same customer that CSRs can then associate or disassociate from the open email triage case in the Email Manager or Case Manager portal.

For more information, see Associating service requests with a triage case and Keep related incoming emails together for a triage case.

Secure email threading mechanism in email bots

Pega Email Bot™ now uses a secure built-in threading mechanism to ensure that all email communication between customer service representatives (CSRs), customers, and other stakeholders is secure and organized in separate threads for a triage case. For this purpose, the system embeds a unique encrypted security code in the body of outbound emails that identifies related triage cases, service requests, and forwarded emails.

For more information, see Understanding email triage process and Use a secure threading mechanism for emails.

Easier customer record management in Customer Profile Designer (early preview)

The new Customer Profile Designer module of Pega Customer Decision Hub™ makes it possible for marketing analysts and strategy designers to define the associated data for each customer context directly in the Pega Customer Decision Hub portal. It is also possible to define more complex associated data structures that use a custom data flow, or define associated data of different types, such as RDBMS and Cassandra, for the same customer context.

Customer Profile Designer is available in Pega Customer Decision Hub 8.6 version as an early preview version. The functionality will be further expanded in future releases.

For more information, see Manage customer records in Customer Profile Designer (8.6).

Ability to handle responses to automatic email notifications in email bots

Pega Email Bot™ can now handle email responses to automatic email notifications that a Pega Platform™ application sends for a related case. As a result, customer service representatives (CSRs) can save time because all relevant emails from customers and other stakeholders are available from a single triage case in the system. To use this feature, ensure that you add the same email account to the email bot that you use to send case notifications in your application.

For more information, see Handle customer responses to automatic email notifications.

Update to Intelligent Virtual Assistant official names

To use better and more consistent names for conversational channels in Pega Platform™ and to help distinguish conversational channels from Pega Unified Messaging Edition™, Pega Intelligent Virtual Assistant™ (IVA) for Unified Messaging is now called IVA for Digital Messaging. Furthermore, the IVA for Web Chatbot is now officially called IVA for Legacy Webchat.

For more information, see Creating a Digital Messaging channel and Pega Intelligent Virtual Assistant features.

Text predictions simplify the configuration of text analytics for conversational channels

Enable text analytics for your conversational channels, such as email and chatbot, by configuring text predictions that manage the text models for your channels. This new type of prediction in Prediction Studio consolidates the AI for analyzing the messages in your conversational channels in one place and replaces the text analyzer rule in Dev Studio.

Through text predictions, you can efficiently configure the outcomes that you want to predict by analyzing the text in your channels:

• Topics (ticket booking, subscription cancellation, support request)
• Sentiments (positive, neutral, negative)
• Entities (people, organizations, airport codes)
• Languages

You can train and build the models that predict these outcomes through an intuitive process, and then monitor the outcomes through user-friendly charts.

For more information, see Predict customer needs and behaviors by using text predictions in your conversational channels.

Upgrade impact

Channels that you configured with text analyzers in the previous version of your system continue to work in the same manner after the upgrade to the current version. When you edit and save the configuration of an existing channel, the text analyzer rule is automatically upgraded to a text prediction. The associated text prediction is now an object where you can manage and monitor the text analytics for your channel. When you create a new channel in the upgraded system, the system automatically creates a text prediction for that channel.

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

1. Enable the asynchronous model building and reporting in text predictions through job schedulers that use the System Runtime Context (SRC) by adding your application to the SRC.
   For more information, see Automating the runtime context management of background processes.
2. Enable model building in text predictions by configuring background processing nodes.
   For more information, see Assigning decision management node types to Pega Platform nodes.

Ability to train the text analytics model based on email attachments

You can now train the text analytics model for Pega Email Bot™ based on training data from email attachments. As a result, you improve the natural language processing (NLP) analysis for your email bot so that your system detects the correct language, sentiment, topics, and entities from both the body of emails and their attachments. By default, you train the text analytics model based only on training data from the body of emails.

For more information, see Enabling training the model based on email attachments.