Published Release Notes

Web mashups preview

App Studio now has a preview mode that shows how an integrated Pega application is displayed on a chosen website. You can try different host sites, as well as window sizing types and skins, to find the best presentation options.

For more information, see Creating a mashup demo.

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.

Conversation flow and smart shapes for the Digital Messaging chatbots

When creating Pega Intelligent Virtual Assistant™ (IVA) for Digital Messaging, chatbot developers can now use new conversation smart shapes in a dedicated flow, making the design process simpler, more robust, and intuitive. With the new smart shapes, the chatbot displays text messages or asks questions to users in one of several ways. In addition, developers do not have to create additional rules, switch tabs, or perform manual validation. You can associate the conversation flow that you create for your IVA with a business case, use the flow on its own, or reuse it in another conversation flow, improving the overall chatbot design process.

For more information, see Adding a stand-alone conversation process for a conversational channel, Adding a case type conversation process for a conversational channel, Editing the conversation smart shapes and Flow shapes.

Additional upgrade scripts for new columns

In Version 6.2, additional columns (Major, Minor, and Patch) containing ruleset Version information were added to 15 tables in the PRPC database. When upgrading from a pre-Pega 7 release, scripts must be manually run after the upgrade to populate these columns.

These scripts are located in the Resource Kit, under Additional Upgrade Scripts.

• If upgrading to a single schema, run both scripts.
• If upgrading to a split schema, run the _data script against the data schema and run the _rules script against the rules schema.

Choose the scripts for your database type:

• db2zos_rulesetversion_columns_data.sql
• db2zos_rulesetversion_columns_rules.sql

• mssql_rulesetversion_columns_data.sql
• mssql_rulesetversion_columns_rules.sql

• oracle_rulesetversion_columns_data.sql
• oracle_rulesetversion_columns_rules.sql

• postgres_rulesetversion_columns_data.sql
• postgres_rulesetversion_columns_rules.sql

• udb_rulesetversion_columns_data.sql
• udb_rulesetversion_columns_rules.sql

Device preview includes a configurable list of common mobile devices

Pega Express device preview displays your application in a simulated mobile device. By previewing your application, you can view the user experience on a desktop, tablet, or phone. You can select from a list of common devices or add devices to the list by editing Pega-DevicePreview-Device.

For more information, see Previewing an application on a mobile device.

Data synchronization does not resume after mobile app restart

If an offline-enabled mobile app that you build with Pega Infinity Mobile Client™ is stopped during an initial data synchronization session, the data synchronization does not resume when the mobile app is restarted. Users must not stop the mobile app before initial data synchronization finishes.

For more information about data synchronization, see Offline capability and Guidelines for creating an offline-enabled application.

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.

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.

New Mobile Apps form for defining and building mobile apps

You now create and build mobile apps in Pega Express from the Mobile Apps form. The new console is a control center for mobile apps where you can gather applications, services, components, and settings in one place to fully customize your apps. You can create and build one instance of a custom mobile app and define multiple native mobile apps that can use the Pega Mobile SDK. To push notifications to an Android or to an iOS device, you must define an SDK mobile app in Pega Express with a certificate set that has push notifications enabled.

For more information, see Configuring a custom mobile app and Configuring push notifications for an SDK app.

Improvements in the training data model for the Email channel

From the training data screen of the Email channel or while you are triaging an interaction case, you can now fix incorrect entities and add new entities that were not detected. These improvements to the data training model that has been defined for the Email channel interface help the Pega Intelligent Virtual Assistant for Email make better predictions.

For more information, see NLP model for an Email channel and Updating entities for an Email channel.