MLOps: Trends and Challenges

In this article, we will answer the main questions about the new phenomenon in the world of IT - MLOps, what challenges those who have decided to put work with data on stream and want to put the MLOps approach into practice will have to face, as well as trends and what awaits machine learning technology in the future. I suppose there is no need to explain who DevOps is and what machine learning is. The news is that recently these concepts have been combined. As usual: it is easier to manage expectations, results, and iterations for clients; compare the results of experiments; recheck hypotheses, and implement developments. Of course, all these advantages do not arise by themselves.