[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"raw-en-articles\u002Fmlops-ontologies-for-model-lifecycle-monitoring-and-rollback":3},"---\ntitle: MLOps Ontologies for Model Lifecycle, Monitoring, and Rollback\ndescription: Structured ontology semantics for Model Lifecycle, Monitoring, and Rollback\nlang: en\nnavigation:\n  enabled: false\n  section: articles\n  order: 30\ntags:\n  - mlops\n  - monitoring\n  - operations\n---\nCorporate governance fails not at policy level but translation level—teams locally reinterpret.\n\n## Why this matters\n\nGovernance fails when different parts interpret policy inconsistently.\n\n## What this looks like in practice\n\n- Governance policies translate directly into control code without ambiguous translation.\n- Risk assessments from different teams are comparable using identical definitions.\n- Escalation decisions are consistent because escalation criteria are uniformly defined.\n\n## How teams use it\n\n- implementing portfolio-level policy consistently across autonomous teams\n- comparing risk across domains using identical metrics\n- auditing governance decisions systematically instead of narrative review\n\nEffective governance scales when decisions are made locally but governed by shared meanings.\n",1776235588025]