Observability & Model Monitoring
For enterprises
Overview
Our model drift, observability and explainability can be plugged into any ML framework to monitor the health of your models as well as understand the reasons behind predictions
- Model monitoring and auto-scaling
- Real-time predictions dashboard
- Automated data pipelines and data wrangling
How It Works
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IDENTIFY MODEL DRIFT AND DEGRADATION -
View your model health over time in a single pane -
QUICKLY SPOT DATA INTEGRITY ISSUES -
VIEW OUTLIERS IN PREDICTION DATA -
UNDERSTAND AND TRUST MODEL BEHAVIOR
Benefits
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Understand Your Models
Get explanations for predictions in real time and ensure that your ML models are no longer black boxes.
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Plug and Play
Our drift, observability and explainability module works across all model types regardless of how they were developed.
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Ensure Models Stay In Production
By monitoring model drift, you can retrain models based on new data and ensure model efficacy.
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Enterprise Ready
By monitoring model drift, you can re-train models based on new data and ensure model efficacy.
