Configuring a machine learning service connection

To run third-party machine learning and artificial intelligence models and use their results in Pega Platform, configure access to a third-party service, such as Google AI Platform.

Before you begin: In Dev Studio, create an authentication profile to which you map the new service configuration. For more information, see Creating an authentication profile.

In the navigation pane of Prediction Studio, click Settings > Machine learning services.
In the header of the Machine learning services work area, click New.
In the New machine learning service dialog box, in the Service type list, select the machine-learning service type that you want to configure, for example, Google AI Platform.
Enter the service name, and then select the authentication profile that you want to map to the new service.
Save the new service connection configuration by clicking Submit.
To test the service connection, select the More icon, and then select Test connection.

What to do next: Run your model through the new service connection:

If this machine learning service connection is for a topic detection model, see Creating a text categorization model to run topic detection models in Cloud AutoML.
If this machine learning service connection is for a predictive model, see Connecting to external predictive models.