Published Release Notes

Retention of mashup state on browser refresh

Mashup configuration now includes an option to retain the state of the mashup after the user refreshes the browser that displays the mashup. In previous releases, when users refreshed a browser window with a case in a mashup, the system discarded the state of the case and then created a new case. Now, you can enable the mashup to use the values in the Clipboard tool from before the refresh. This enhancement helps users seamlessly continue their work after a browser refresh.

For more information, see Pega web mashups for embedding Pega Platform UI in external web pages.

Improved cross-browser support

All rule forms are now harness-based and open in the work area of Designer Studio. This means that you can develop in the browser of your choice, free from pop-up distractions and incompatibility messages. Many rule forms have been upgraded to use the latest layouts, styles, and design best practices, giving you a consistent development experience.

Viewing a Word Template in Pega 7.1.7 compared with Pega 7.1.6

Previous restrictions still apply to any deprecated or custom rule forms in your application that remain form-based. Refer to the Deprecated features list for guidance on how to upgrade these forms and recommended alternatives.

Column Populator utility documentation out of date for prior versions

The documentation for using the Column Populator utility to populate newly exposed database columns is out of date for Pega 7 Platform versions prior to 7.2. For all Pega 7 versions, refer to the Pega 7.2 help documentation for instructions about how to use this utility.

New ClientStore JavaScript API for offline-enabled applications

For offline-enabled applications built using Pega Infinity Mobile Client™, you can now take advantage of a new window.pms.plugins.clientstore JavaScript API. The improved API is based on promises and events instead of callbacks and listeners, and replaces the previously available window.launchbox.PRPC.ClientStore JavaScript API which is now deprecated.

Predictive models can drive predictions

You can use predictive models as the basis of your predictions. As a data scientist, you can now use Machine Learning Operations (MLOps) to replace models in your system. You can replace a model in a prediction with a PMML, H2O MOJO, or Pega OXL predictive model, as well as a scorecard or field, and then approve the update for deployment to a production environment. You can respond to a Prediction Studio notification that an active model does not generate enough lift and decide to replace the low-performing model with a high-accuracy model. You can also update a prediction on a regular basis, for example, whenever you develop a new churn model in an external environment.

For more information, see Replace models in predictions and migrate changes to production with MLOps.

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.

Introduction of Search and Reporting Service

Pega Platform™ now uses Search and Reporting Service, which is an independent microservice. The new enhancement provides a convenient way to manage your application data, and is easier to maintain. For example, because of the cloud-based architecture of Search and Reporting Service, any bug fixes and performance improvements occur seamlessly, and have no impact on your overall experience in Pega Platform.

For more information, see Search and Reporting overview.

Extended language support in text analytics

Pega Platform™ text analytics now supports 9 more languages. You can build entity and topic detection models to analyze text in the Japanese, Russian, Turkish, Danish, Norwegian, Swedish, Polish, Croatian, and Czech languages. In addition, Pega Platform now includes a default small talk detection model for each of these languages.

For more information, see Language support for NLP and Out-of-the-box text analytics models.

Support for custom database tables in external Cassandra clusters

Pega Platform™ now supports a connection to external Cassandra clusters through a dedicated Database Table data set, which reduces the need for data ingestion and export. You can use custom tables that you store in your external Cassandra cluster in data flows for accessing and saving data. You can access your custom data model by mapping the model to a Pega Platform class.

For more information, see Connecting to an external Cassandra database through a Database Table data set.

New PegaRULES:PegaAPISysAdmin​ role

The role PegaRULES:PegaAPISysAdmin​ has been added to the Pega 7 Platform. This required role gives system administrators access to the Pega API REST User Services and is not required for other services.

For more information, see Securing the Pega API.