Just as DevOps linked software development with operations, MLOps links two disparate areas of machine learning: development of the machine learning model and operating it in production. Linking these areas requires the right team, and automated processes around continuous integration and deployment, bringing in aspects of DevOps. MLOps also requires broad collaboration between data scientists, infrastructure experts and data engineers.