Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
John Lewin

John Lewin
Principal Manager, AI and Research, Microsoft


Shane Lewin is principal manager of AI and research at Microsoft. Shane has been shipping products in technology and AI for over 10 years, with experience spanning everything from large companies such as Netflix and Microsoft to early-stage startups, including Gliimpse and OpenTalent, to companies making the transition from smaller company to large organization, such as Powerset and Shutterstock. Most recently, he was vice president of product for data science at Lumiata. His portfolio includes a medical AI engine that identifies high-risk patients to enable early intervention; an image search engine that allows customers to search by emotion, mood, and context; a self-learning customer communication and email platform that increased retention while reducing total emails; a data optimization platform that saved over $1M per year on a nearly 10x cost reduction; and the massive distributed document summarization engine that generates all the text you see on Bing. Shane holds an MS in computational and mathematical engineering from Stanford University and degrees in molecular biology and mathematics from the University of Colorado at Boulder.


2:35pm–3:15pm Wednesday, May 2, 2018
AI Business Summit, AI in the Enterprise
Location: Regent Parlor
John Lewin (Microsoft)
Average rating: *****
(5.00, 2 ratings)
Great AI products are more than technology; they are built on a clear (computationally tractable) model of customer success. Getting that model right can be more challenging than building the AI models themselves; and getting it wrong is very expensive. Shane Lewin outlines common pitfalls in defining AI products and explains how to organize teams to solve them. Read more.