AI Operations (AI Ops) is the discipline of designing, supervising, and controlling AI systems once they are deployed into real production environments.
It focuses not on how models are trained, but on how AI behaves after deployment — when decisions affect customers, revenue, safety, and trust.
As AI systems become embedded in logistics, finance, real estate, healthcare, and infrastructure, organizations need people who can operate AI safely and predictably.
AI Operations exists to ensure:
MLOps focuses on training and deploying models. AI Operations focuses on behavior, reliability, and oversight in live systems.
In practice, AI Operations builds on MLOps — but goes further into governance, accountability, and human-in-the-loop design.
As AI becomes infrastructure, demand is rising for professionals such as:
GlobalWork Academy trains professionals to operate AI systems responsibly and qualify for global remote roles.
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