Monitor model performance with metrics and alerts
- ■ Understand how your model performs with production data
- ■ Compare model predictions with actual outcomes
- ■ Model metrics dashboards (e.g. Accuracy, Precision, F1, and more)
- ■ Conditional alerts
- ■ Deviation alerts between training and production datasets
- ■ Drift alerts using a trusted canary model
Preemptive decision-making for business stakeholders
- ■ Connect your production models to your KPIs
- ■ Gain visibility into your ML performance
- ■ KPI-driven alerts
- ■ Understand and track production model ROI
- ■ Access pre-deployment sandbox outcomes
- ■ Embed your line of business perspective into your ML initiative
Identify anomalies and model decay with ease
- ■ Automatic alerts for model decay and anomalies
- ■ Automatically detect production model traffic when it diverges from expectations
- ■ Identify suspicious activity on your models
Deploy models faster
Replace your post-mortem approach with a preemptive solution
Maximize your revenue
Get key business insight that can help you make more profitable decisions.
Minimize business losses
Avoid costly mistakes by quickly identifying model performance issues.
Learn more about Datatron’s Monitoring Module
Datatron’s Monitoring Module for Machine Learning Models
Read more about Datatron and Model Monitoring by checking out our white paper.
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