Machine Learning Operations (MLOps)

Machine Learning Operations (MLOps) is the practice of managing the entire lifecycle of machine learning models, from development to deployment and ongoing maintenance. It combines techniques from software engineering, data management, and automation to ensure models are reliable, scalable, and perform well over time. MLOps facilitates collaboration between data scientists and IT teams, streamlines deploying models into real-world applications, and continuously monitors their performance to detect and address issues promptly. Essentially, it helps organizations efficiently integrate AI models into their systems, ensuring they deliver consistent value while minimizing risks.