MLOps & Model Governance Template for OT Deployments
A practical research plan, checklists, and templates to trial safe, traceable model deployment, monitoring, rollback, and change management for operational technology (OT) and shopfloor AI.
A concise research plan plus checklists and templates to pilot safe model deployment, monitoring, rollback and governance in OT shop‑floor environments.
A practical research plan, checklists, and templates to trial safe, traceable model deployment, monitoring, rollback, and change management for operational technology (OT) and shopfloor AI.
A practical, shop-floor focused playbook and actionable checklist for safely piloting, deploying, monitoring, and governing ML models in OT environments. Covers versioning, pre-deployment tests, runtime metrics, alerting and human-in-the-loop fallbacks, rollback & retraining triggers, documentation artifacts, and an owner matrix to make pilots auditable and repeatable.