Having a trained model that can classify is great, but turning that model into a scalable server presents some unique challenges. Ray Serve on Anyscale knocks out each of these challenges for a simple end-to-end experience. In this talk, which is for people new to Ray, we present how quickly you can put a model serving application into production, integrate with other backend services, and scale it up to respond to demand.
With over two decades in the computer sciences and a decade in machine learning, Nachi Mehta works at the intersection of artificial intelligence and advanced business technologies. As a co-founder at OXW.io, a data science and machine learning consultancy, Nachi helps businesses from startups to Fortune 500 companies solve vexing, complex problems through the creative application of cutting-edge data science. Past projects include fraud detection platforms at Target, data aggregation and analysis at Baker Hughes, and dynamic offer allocation at Expedia.