Technical
Operations management
Practices for data, model, testing, deployment and maintenance.
Definition
The set of operational practices covering data governance (quality, provenance, representativeness), model selection and validation (accuracy, fairness, robustness checks), version control, secure deployment, and routine monitoring/retraining to manage drift and maintain safe, reliable performance.
Related Terms
AI system operation and management
Deployment, monitoring and maintenance of operational AI models....
Model Validation
Processes to verify models perform as designed....
Model-development and model-usage pipeline
Defined ML lifecycle stages from data to operation....
validation
Clinical validation of AI models....
Monitoring
Continuous observation of an AI system during operation....