This article was published as a part of the Data Science Blogathon. MLOps, as a new area, is quickly gaining traction among Data Scientists, Machine Learning Engineers, and AI enthusiasts. MLOps are required for anything to reach production. Here's everything you need to know about MLOps and why it's so important for getting the most out of machine learning. When organizations needed to adopt Machine Learning solutions in the early 2000s, they used vendor-licensed software like SAS, SPSS, and FICO.

People in hoodies and graphic tees are throwing the term "AI" around like confetti. You nod and try to play along, managing to churn out a brief mention of Elon Musk and Tesla as you look up the definition of "artificial intelligence" on your phone. You try to translate it into plain English. Never fear: Our trusty guide is here, no prior knowledge required. Let's talk about what it is -- in layman's terms -- and how it could affect your life.