ML (Machine Learning) Operations

ML Operations (MLOps) is the practice of managing and automating the entire lifecycle of machine learning systems. It involves designing, deploying, monitoring, and maintaining models in production environments, ensuring they deliver accurate results consistently. MLOps combines machine learning with software engineering practices, enabling teams to efficiently update models, track performance, and manage data. This approach helps organizations integrate machine learning into their business processes reliably, minimizing risks and maximizing value from AI technologies.