Starting a career in A.I: A MythBuster (Part 2)

I'm also glad that all of them got productized. This brings me to the first major difference between academia and industry. Industry focuses on productizing whereas Academia focuses on research. You might have realized that they are not always mutually exclusive. In my previous part of the series, I had talked about my fascination for the Magic of A.I. Magic of A.I is best seen in projects which are an intersection of both bleeding-edge research which pushes the frontiers of the current state of the art and the productization of it. What good is research if it is not easily accessible to use and what good is an easily accessible product which is not very smart?