MLOps, short for Machine Learning Operations, is a set of practices that integrates machine learning systems into the software development and deployment lifecycle. It encompasses processes, tools, and collaboration between data scientists, developers, and operations teams to streamline the end-to-end management of machine learning models, from development and testing to deployment and monitoring. Read more.