Definition: AI Model Lifecycle Management ABB is a technology service that governs the full lifecycle of artificial intelligence models, including creation, training, validation, approval, deployment, monitoring, update, rollback, and retirement, ensuring traceability, compliance, and controlled evolution of AI assets. Last modification: 2026-01-26 Identifier: http://data.europa.eu/dr8/AIModelLifecycleManagementTechnologyService LOST view: Technical view – infrastructure EIRA concept: eira:ArchitectureBuildingBlock ABB name: eira:AIModelLifecycleManagementTechnologyService Additional identifier: http://data.europa.eu/dr8/AIModelLifecycleManagementTechnologyService Synonym: Model Governance Service , Model Lifecycle ,Model Operations Management Example: Azure MLOps , AWS SageMaker Model Lifecycle , Kubeflow Pipelines , MLflow Model Governance Interoperability Saliency: AI Model Lifecycle Management service ensures that AI models used by digital public services can be safely updated, audited, and replaced without breaking interoperability. Additional information: This ABB coordinates multiple AI services such as training, fine-tuning, inference, registry, and monitoring, ensuring that models progress through controlled and auditable lifecycle stages. Interoperability Dimension: Structural IoP EIF Layer: TechnicalInfrastructure