Take advantage of scalable big data technologies. Compute complete datasets without infrastructure limitations. Quickly build and run models with best-in-class parameter optimization. And use the best, most advanced machine learning algorithms to overcome difficult or unresolved problems and test new ideas.
Fully automate tedious and time-consuming model development processes from data acquisition, preprocessing, feature and target engineering. Compare models of different algorithms or parameter settings and instantly deploy champion models in data-rich ecosystems.
Govern models as managed assets. Standardize and centralize data science activities. React instantly by retraining models when performance degrades. Know the status of all of your models at all times. Provide an audit trail for model development, model retraining, and model management.