Why Machine Learning Models Die In Silence?

The meaning of life differs from man to man, from day to day, and from hour to hour -- Viktor E. Frankle, Man's search for meaning. Frankle was not only right about the meaning of life, his saying was correct about machine learning models in production too. ML models perform well when you deploy them in production. Its quality of predictions decay and soon becomes less valuable. This is the primary difference between a software deployment and a machine learning one.