Machine Learning Operations (MLOps) is a set of ‘practices and principles’ that helps businesses streamline their ML deployment processes.

An increasing number of companies across the world are looking at MLOps to build and deploy more accurate and faster ML models. By implementing MLOps practices and principles, Data and IT teams can uncover new opportunities and help build more mature and business-driven AI/ML solutions.

The widespread adoption of this approach toward ML deployment can be seen from its massive market size. As per the available data, “the market size for Machine Learning Operations was around USD 1.1 billion in 2022. The market size is expected to expand to over 5.9 billion by 2027.”

To find out more about Machine Learning Operations and how it transforms ML model deployment processes, simply download our recent whitepaper on MLOps.