MLOps is a new discipline. It is a core function of machine learning engineering focused on taking machine learning models to production and managing them. Once a Data Scientist comes up with an algorithm, or combination of algorithms to make a prediction, this algorithm along with a machine learning model must go into production.
As described in the article titled “Everything You Need to Know About DataOps and Data Platforms,” the amount of data generated per day continues to grow unabated. And trying to quantify these daily data volumes (as well as types) continues to prove challenging. At best, it is only possible to derive approximations.