MLOps applies DevOps practices—continuous integration, delivery, and monitoring—to machine learning workflows. It aims to automate the deployment and maintenance of ML models, ensuring reliability and reproducibility. MLOps is increasingly important for scalable, enterprise-level AI solutions.