Leverage streaming online predictions to drive insights to action
For cutting-edge stream-based use cases, the incorporation of machine learning models is integral for next best action processing.
Out-of-the-box, Joule offers the capability to seamlessly deploy JPMMLarrow-up-right models within a processing pipeline using a predictive processor.
Learn more about Joule's ML inferencing architecture here.
Joule provides the capability to perform near-real-time predictions to enable best next action use cases.
Online customer segmentation
Predictive service maintenance
Behaviour anomaly detection
Best next action
Customer conversation scoring
Online predictive analytics
JPMML prediction processor evaluates event feature vectors in near-real-time
Feature engineering
Decorate a feature vector with enriched features specific to the deployed model
Model audit
Monitor model predictions and performance metrics to support explainability, detect drift, and manage retraining
Model management
Deploy a retrained model directly in to a running Joule with zero down time
Last updated 1 year ago
