According to ClearML's research, MLops has enjoyed widespread adoption, with 85% of organizations polled in the United States having a dedicated MLops budget in 2022. The MLops budget is expected to rise in 2023, signaling an opportunity for cloud computing professionals looking to pivot their career paths.

MLops is becoming a vital component of the machine learning life cycle as it enables organizations to manage and operate machine learning models in production.

MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.Tasks involved in MLops include model deployment, monitoring, versioning, retraining, testing, and automation, and having the right MLops talent in place is crucial to reduce risks.