Abstract: Machine learning (ML), artificial intelligence (AI), and operations research (OR) are long standing and well established research fields. From a research perspective, there are some natural directions where ML/AI and OR may benefit from each other (and we sketch a few). From an applications perspective, there is the natural ordering of ML/AI (``predictive'') first, OR (``prescriptive'') second, but other cases are conceivable. In this talk, I will discuss some research, applications, and perspectives that I personally find challenging, interesting, exciting, or boring. In particular, a recent surge of interest (``hype'' is not exaggerated) pushed ML and AI into companies/startups and newspapers. Not so much OR. I discuss implications for ``our'' field (which I still think is OR).