ACCURACY & DATA DRIFT
Measure model performance against critical business metrics
Detect, diagnose, and react to data drift with both structured and unstructured data before it impacts results
Proactively improve model accuracy
EXPLAINABILITY & TRANSPARENCY
Build trust with valuable insights into how your models are making decisions
Ensure compliance in your ML systems with local explanations for model outputs
Leverage context around model predictions to drive stronger, more actionable outcomes
BIAS DETECTION & MITIGATION
Proactively monitor for bias with custom fairness thresholds
Compare model outcomes against fairness metrics for specific groups
Continually improve the fairness of model outcomes without re-deploying