What is MLOps?
MLOps is a collection of tools and methodologies that aim to productionize and operationalize machine learning development.
If you ask three data scientists to implement a machine learning (ML) solution you will receive 3 different methodologies, stacks, and operational viabilities. MLOps processes attempt to standardize and unify the development of projects to enhance security, governance, and compliance. MLOps technologies automate repetitive tasks like training a production model or deploying solutions into production.
MLOps is more than just a set of technologies. It doesn’t matter if you’re building your MLOps process on Azure, AWS or GCP. The goals are the same.
MLOps is more than a CI/CD process. It’s a combination of tools and ways of working, ideologies that derive from DevOps, that are unique to each business.