(Vol)TurorCom Group

You've built the perfect machine learning model. But how do you deploy it, monitor it, and ensure it continues to deliver value? That's where ModelOps comes in.

HISTORY / ORIGIN

ModelOps, short for Model Operations, emerged as organizations realized that building a machine learning model is only a small part of the journey. According to industry research, over 80% of machine learning models never make it into production. ModelOps addresses this gap by providing the processes, tools, and governance to manage the entire model lifecycle – from development to deployment, monitoring, and retraining.

TYPES OF MODELOPS

ModelOps encompasses several components: