II.
Responsibility overview
Reference · liveresponsibility:model-drift-monitoring
Model drift monitoring overview
Detect and respond to model performance degradation — data drift, concept drift, and prediction drift monitoring with automated alerts and retraining triggers.
Attributes
displayName
Model drift monitoring
cadence
continuous
description
Detect and respond to model performance degradation — data drift,
concept drift, and prediction drift monitoring with automated alerts
and retraining triggers.
Outgoing edges
held_by3
- role:ml-engineer·RoleMachine Learning Engineer
- role:machine-learning-ops-engineer·RoleMachine Learning Ops Engineer
- role:data-scientist·RoleData Scientist
requires_expertise2
- skill-area:model-monitoring-drift-detection·SkillAreaModel Monitoring and Drift Detection
- skill-area:model-evaluation·SkillAreaModel Evaluation & Selection
Incoming edges
holds_responsibility1
- role:machine-learning-ops-engineer·RoleMachine Learning Ops Engineer