We interact with large-scale machine learning systems on a daily basis. By powering our content feeds, securing our credit cards, detecting faces on our home cameras, and guiding our cars around traffic jams, we have come to rely on machine learning for our everyday needs. And while ML models are feted by academics, it is the ML infrastructure and tech stacks that productionalize those models at scale that make machine learning a practical reality.

In this track, we’ll look at the practical application of machine learning in experiences that you have come to rely on.