$1.$ Outline the top five problems companies face when deploying machine learning models to production today

and give a concise justification of your choices.

$2.$ Create an interesting scenario of a software company whose Data Science team has just trained a very

promising machine learning model. The team wants to use this model in production and try its impact on

customers but doesn$$t know how to proceed. If you were to lead those efforts, how would you go about the next

steps? Discuss in concrete terms what has to be done to serve this model reliably in production.