MLOps is the bridge between data science and operations. Unlike other DevOps frameworks that deal with software code, MLOps handles data science models and their integration with operational systems. It enables a streamlined and standardized ML operations process. Furthermore, it ensures that ML models perform reliably in real-time settings after developement and validation.