MLOps: Teacher for Artificial Intelligence

In hospitals, it helps doctors decipher X-rays, and in banks, it helps calculate financial risks. Artificial intelligence has been used in commercial relatively recently, but it is no less exciting. But how is make success in such an implementation? From 2012, when one researcher won a competition for image recognition using artificial intelligence, and to this day, when machine learning has become part of the technology industry, all experts understand that MLOps need for the successful use of AI. Cloudera's data engineer, Santiago Giraldo, estimates that only 13% of all projects go through the experimental stage, while others don't. MLOps was created as an analog of DevOps - a modern practice of creating, implementing, and running programs for corporations.