Integrate the intelligent interaction activity for text analytics into your application
Valid from Pega Version 7.3.1
Employ text analytics and machine-learning capabilities in multichannel applications by integrating the pyRunInteraction activity for content parsing and analysis. By calling this activity, you can automatically analyze any incoming text data, such as instant messages, posts, emails, and so on, to detect sentiments, categories, entities, or intents that can help you with automatic case creation and routing. For example, you can use this activity to populate case properties based on detected entities such as customer name, email address, and account number.
For more information, see Intelligent interaction in text analytics.
Update text analysis models during every interaction
Valid from Pega Version 7.3.1
While interacting with your customers through text-based communication channels (such as a Facebook chatbot or email), you can use an activity to provide feedback to a text analysis model by manually assessing whether the entities, categories, intents, and sentiments in the analyzed text were assigned to the expected class. By using this feedback input as training data, you can ensure that the accuracy of your text analytics models continuously improves.
For more information, see Feedback loop for text analysis.
Build predictive models with the genetic algorithm
Valid from Pega Version 7.3.1
A genetic algorithm solves optimization problems by creating a generation of possible solutions to the problem. In Pega® Platform you can utilize the functionality of genetic algorithms by using the genetic algorithm model in the Analytics Center portal. With this type of predictive model, you can create highly predictive, non-linear models by selecting the best performing model from the last generation.
For more information, see Creating models and Creating a genetic algorithm model.
The Run Data Flow shape replaces the Run Interaction shape
Valid from Pega Version 7.3.1
The Run Interaction shape in flows has been replaced by the Run Data Flow shape to introduce a consistent way of making decisions and capturing responses. You can now run a single-case data flow by referencing the data flow in the Run Data Flow shape. The data flow must have an abstract input and abstract or dataset output.
For more information, see Running a decision strategy from a flow, About Data Flow rules and Interactions in flows are no longer supported by the Run Interaction shape.
Interactions in flows are no longer supported by the Run Interaction shape
Valid from Pega Version 7.3.1
The Run Interaction shape in flows has been replaced by the Run Data Flow shape, which supports running a single case data flow with a strategy. Flows that include the Run Interaction shape continue to work; however, you must now use the Utility shape to reference any new interactions that you create.
For more information, see Running a decision strategy from a flow and About Interaction rules.
Specify a model transparency policy for predictive models
Valid from Pega Version 7.3.1
Specify a model transparency policy in Pega® Platform to indicate predictive models that are compliant or non-compliant to use in particular business issues. Increase the transparency threshold of particular business issues to allow the use of more transparent models. Decrease the transparency threshold to allow for the use of less transparent and opaque models. Models with a transparency score below the transparency threshold are marked as non-compliant.
For more information, see Model transparency for predictive models.
Define custom dimensions in VBD data sets
Valid from Pega Version 7.3.1
Beginning with version 7.3.1, you can define custom dimensions when you create a Visual Business Director (VBD) data set in Pega® Platform. With this option, you can use any custom or existing property from the Applies To class of the VBD data set as a dimension to visualize your data, in addition to the properties in the default set of dimensions.
For more information, see Creating a Visual Business Director data set record.
Custom scaling on x-axis for bubble charts
Valid from Pega Version 7.3.1
Bubble charts now support custom scaling for the x-axis as well as the y-axis. For example, you can now configure a fixed range for the x-axis.
For information about including a chart in a report, see Adding or editing charts from the Report Definition rule form.
Enable users to save charts as .png files
Valid from Pega Version 7.3.1
You can now enable users to save a report chart as a .png file. On the Chart tab of the Report Definition rule form, click General settings and select the Export chart to image check box. When you select this option, users are provided with the Save as image option, which they can use to save an image of the chart to include in a Word document or email.
For information about including a chart in a report, see Adding or editing charts from the Report Definition rule form.
Enhancements to exporting reports to Excel
Valid from Pega Version 7.3.1
When you export report results to Microsoft Excel, the process now creates a Data sheet and an Info sheet in the Excel file. By default, the Info sheet contains the report title, filters used to generate the report, the date when the report was generated, and the number of results returned.
If you want the report title and filters to display in the first sheet instead of the Info sheet, you can disable the default functionality. For more information, see Disabling the creation of an Info sheet in Excel output.