Enrich your decision strategies with predictive models from Amazon SageMaker and H2O.ai (8.4)
As part of Pega’s Open AI initiative, users have always been able to import PMML-compliant models from third-party tools, to assist with their customer predictions.
In Pega Marketing 8.3 we doubled-down on this concept with a Real-Time AI Connector to Google Cloud Machine Learning. This is a set of APIs that allows clients to initiate service callouts to Google Cloud Machine Learning models (TensorFlow and XGBoost) in real-time, during their next-best-action decisions.
In 8.4, we’ve taken Open AI to the next level, adding a Real-Time AI Connector to Amazon SageMaker, as well as providing a direct integration with H2O.ai. The integration with H2O.ai means that users can seamlessly import H2O-3 and H2O Driverless AI models directly into their Pega applications, and run them natively in their next-best-action strategies.
The following video illustrates how to import H2O models to Prediction Studio:
For more information, see Importing a predictive model.
The following video illustrates how to connect to Amazon SageMaker models in Prediction Studio:
For more information, see Connecting to an external model.