Model Service Tag

A label used to map a model snapshot to specific runtime environments for deployment, allowing for targeted promotion through development, test, and production stages.

All Terms
AI Governance
AI Governance Score
AI Lifecycle Automation
AI Policy
AI Risk
AI Use Case
AI/ML Operationalization
AIMS
AUC
Abstraction
Alerting Rules
Annual Review
Asset
Associated Model
Assurance
Attestation
Audit Trail
Automated Model Validation
Autonomous System
Bias
Black Box AI
Brand Risk
CI/CD for Models
Capability Maturity Assessment
Center of Excellence (CoE)
Champion-Challenger Testing
Conformity Assessment
Confusion Matrix
Containerization
Data Drift
Data Scientist
DataOps
Decision Table
Default Implementation
Deployment
DevOps
EU Act
Encapsulation
Enterprise AI
Enterprise AI Architect
Environment/Stage Tagging
Evaluation Metric
Explainability
F1 Score
Fairness
Foundational Model
Heterogeneous Analytics Ecosystem
ITOps
Inferences
Interpretability
LOB Analyst
LOB Executive
Lineage
MLOps
Machine Learning
Metric Function
Metrics Job
Model
Model Card
Model Debt
Model Decay
Model Drift
Model Governance
Model Inventory
Model Lifecycle Management
Model Risk Management
Model Service Tag
ModelOps
ModelOps Engineer
Monitoring SDK
Operational Assurance
Operationalization
Portfolio Intelligence
Predictions
Predictive Models
Process Automation
Production Process Controls
Production Setting
Programmatic RAI Assessments
ROC Curve
Runtime
SHAP Values
Schema
Scoring Job
Shadow AI
Single Source of Truth
Snapshot
Social-technical Systems
Technical Evidence
Throughput
Time-to-Market
Traceability
Training
Training Job
Transparency
Use Case Registration
Validation Expiration Date
Validation Test Automation