Ongoing Support & Optimization

Deploying a model is only the beginning.

Deploying a model is only the beginning. Model performance can drift over time due to changing data and environments. Ongoing support services ensure models remain accurate, fair and efficient. Continuous optimisation also helps adapt to new regulations and technological advances.

• Performance monitoring: Track accuracy, fairness, drift and model usage with dashboards.
• Model retraining & updating: Schedule periodic retraining with fresh data; implement automated pipelines.
• Incident response: Detect anomalies and respond quickly to prevent incorrect outputs.
• Optimization workshops: Identify opportunities to improve models, reduce latency and cut costs.
• Knowledge transfer: Train your internal team to manage models and MLOps pipelines.
• Change tracking & documentation: Maintain model lineage, version control and audit logs.