- Build Better ML Models in Less Time: Driverless AI automates time-consuming data science tasks including advanced feature engineering, model selection, hyperparameter tuning, model stacking, and model deployment.
- Trusted AI Results: Driverless AI delivers highly accurate models and provides vital capabilities for understanding, debugging and sharing model results.
- Machine Learning Interpretability: Provides market-leading explainability for machine-learning models. Maximum transparency and minimal disparate impact are crucial to explain models to business stakeholders and regulators.
- Fast Deployment: Train ML models anywhere and deploy them into Pega Prediction Studio for real-time execution and decisioning.
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Last updatedJune 19, 2020