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Configuring a machine learning service connection

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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, in Prediction Studio.

In Dev Studio, create an authentication profile to which you map the new service configuration. For more information, see Creating an authentication profile.
  1. In the navigation pane of Prediction Studio, click Settings Machine learning services .

  2. In the header of the Machine learning services work area, click New.

  3. In the New machine learning service dialog box, select the service type that you want to configure, for example, Google AI Platform.

  4. Enter the service name, and then select the authentication profile that you want to map to the new service.

  5. Save the new service connection configuration by clicking Submit.

Your machine learning service connection is defined.
Run your custom model through the new service connection. For more information, see Connecting to an external model.

  • Connecting to an external model

    You can run your custom artificial intelligence (AI) and machine learning (ML) models externally in third-party machine learning services. This way, you can implement custom predictive models in your decision strategies by connecting to models in the Google AI Platform and Amazon SageMaker machine learning services.

  • Importing a predictive model

    Import predictive models from third-party tools to predict customer actions. You can import PMML and H2O models.

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