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Enrich your decision strategies with H2O and Amazon SageMaker predictive models (8.4)

Updated on May 3, 2021

Develop your decision strategies by including predictive models from the H2O and Amazon SageMaker machine learning platforms. You can choose from a broader selection of external models that you can then include as part of your next-best-action strategies. For example, you can predict customer churn by importing XGBoost models from H2O.

Pega Platform™ enables you to fully benefit from predictive models created in third-party applications, as well as your own custom models, by importing them to Prediction Studio. You can also connect to models in external machine learning services.

The following video illustrates how to import H2O models to Prediction Studio:

"Video showing how to import an H2O model to Prediction Studio"
Selecting and importing an H2O model to Prediction Studio

For more information about importing and running H2O models in Pega Platform, see Importing a predictive model.

The following video illustrates how to connect to Amazon SageMaker models in Prediction Studio:

"Video showing how to import an Amazon SageMaker model to Prediction Studio"
Connecting to an Amazon SageMaker model in Prediction Studio

For more information about running Amazon SageMaker models in Pega Platform, see:

  • Previous topic Optimize the performance of your Proposition Filter rules with audience simulation tests (8.4)
  • Next topic Make better predictions through actionable insights in Prediction Studio (8.3)

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