Support for predictive models in PMML version 4.4
Valid from Pega Version 8.5
Pega Platform™ now supports the import of predictive models in Predictive Model Markup Language (PMML) version 4.4. With this feature, you can import PMML models that use the anomaly detection algorithm.
For a list of all supported PMML models, see Supported models for import.
Automate business process tracking by importing Excel files
Valid from Pega Version 8.5
To track business processes status and data, you can now import Excel files when you create a case or data object in App Studio. This functionality provides the following enhancements:
- You can now upload a CSV file when you create a case or data object in App Studio. By importing a CSV file, you can use the data in your spreadsheet to define your data model.
- You can generate a data import template that you can use to import a file in its original format during production.
- You can upload .xlsx files to avoid resaving your Excel file as a CSV file.
For more information, see Creating a data model from a spreadsheet.
Data APIs support data exploration in React UI tables
Valid from Pega Version 8.5
Data APIs have been enhanced to support filtering, sorting, paging, and aggregation in React UI tables. You can use that functionality to access your data quickly and intuitively. For example, by using paging, you can query a data page to retrieve the second page of an employee contact list and specify the number of results that are displayed on the page.
For more information, see Data API performance and limitations.
Support for application-specific REST API calls
Valid from Pega Version 8.5
You can now call an authenticated REST API in the context of any application that is listed on an operator record by using the application alias URL. With the application alias URL, you can also develop REST services without changing the access group in the service package. REST services run in the context of the access group that points to the provided application, instead of the access group that is specified in the service package.
For more information, see Invoking a REST service rule.
Support for Apache HBase 2.1 and Hadoop 3.0
Valid from Pega Version 8.5
Support for these versions extends Pega Platform™ compatibility with HBase releases to ensure that your database implementations integrate seamlessly with Pega Platform.
Pega Platform now supports:
- Apache HBase 2.1 for the HBase data set
- Apache Hadoop Distributed File System (HDFS) 3.0 for the HDFS data set
For more information, see Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5).
Savable data pages support loading pages individually from a page list
Valid from Pega Version 8.5
You can now load individual pages in a page list from single object data pages to your case and data types. This functionality allows you to save autopopulated properties with the Load each page individually option using a flow action, save data page smart shape, or the activity method.
For more information, see Saving data in a data page as part of a flow.
Enhancing your revision management process with Deployment Manager pipelines
Valid from Pega Version 8.5
Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.
For more information, see Managing the business-as-usual changes.
Support for Cloud AutoML topic detection models
Valid from Pega Version 8.5
In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.
For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).
Control group configuration for predictions
Valid from Pega Version 8.5
You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.
For more information, see Customizing predictions.
Response timeout configuration for predictions
Valid from Pega Version 8.5
You can now set a response timeout for your predictions in Prediction Studio. By setting a response timeout, you control how Prediction Studio registers customer responses that later serve as feedback data for your predictions.
For more information, see Customizing predictions.