🔄 MLOps
MLOps & Monitoring
Keep production AI accurate always — detect drift and retrain automatically
24/7
Monitoring
Auto
Retrain
<1%
Drift Tolerance
Key Features
What Makes This Technology Special
Model Monitoring
Track model performance in real-time
Data Drift Detection
Detect when data distribution shifts from training data
Performance Degradation
Alert when accuracy drops below threshold
Auto-Retrain Pipeline
Automatically retrain model when drift is detected
Experiment Tracking
Log every experiment with MLflow, W&B
Alert & Notification
Notify team via Slack, Email when issues arise
Benefits
Why You Need This Technology
Always Accurate
Detect and fix drift before it impacts production
Auto Retrain
No manual retraining — pipeline handles it automatically
Faster Resolution
Instant alerts reduce downtime
Audit Trail
Complete record of all model changes for compliance
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