Human in the loop – Incorporate human expertise and intelligence in the platform
Insights from limited data – insights from day two; insights where there is limited training data for traditional ML
Ensemble models – Combining supervised and active learning models to balance accuracy and actionability
Automated 5Y – In context recommendations that get down to 5 “whys” to get to the root cause
Interpretable ML – Output of models includes explanation of causes of prediction, allowing actionability
Powerful platform, customized apps – Data Science platform includes hundreds of available microservices and apps, additional custom apps can be built on top