MLOps (Machine Learning Operations)

What is MLOps?

MLOps is a methodology that focuses on the operationalization of machine learning models concentrated. It combines the principles of DevOps with the special requirements of machine learningto automate and optimize the entire lifecycle of ML models – from development to deployment and monitoring.

Advantages and possible applications

MLOps ensures faster provision of models, better scalability and continuous improvement of ML systems. It is used in industries such as financial services (e.g. for credit risk assessments), healthcare (e.g. for diagnostic systems) and retail (e.g. for personalization). Companies that implement MLOps benefit from higher efficiency and better collaboration between data scientists and IT teams.