MLOps

Machine Learning Operations (MLOps) is an approach that streamlines the process of building, testing, and deploying machine learning models. As a data scientist involved in a Pega Customer Decision Hub™ project, MLOps can help you manage the complexity of the machine learning pipeline.

In the business operation environment, you can add potential predictors to adaptive models and you can deploy new predictive models in shadow mode. In shadow mode, you can monitor the performance of a new model on production data without impacting business outcomes. Once the new model performs well, you can promote it to active status.

By utilizing MLOps best practices, you ensure that your models are robust, reliable, and integrate easily into the larger Customer Decision Hub ecosystem.

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