The acronym MLOps stands for Machine Learning Operations, which refers to the practices and tools used to streamline the deployment, monitoring, and management of machine learning models. MLOps integrates DevOps principles into machine learning workflows, ensuring a seamless transition from development to production. By fostering collaboration between data scientists and operations teams, MLOps enhances model performance, accelerates deployment cycles, and promotes ongoing model evaluation and enhancement, leading to more robust AI solutions.