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Speaker "Zexi Mao" Details Back

 

Topic

AI as a Service at Scale: Retail Case Study

Abstract

In this talk, we discuss new emerging applications of AI in the retail industry. The emergence of the cloud infrastructure and programmatic software services makes it possible to integrate AI technology into almost every standard software module. Everything from dynamic product ranking to prediction of individual user attributes and dynamic price optimization becomes a service invoked dynamically for each customer in real-time as they visit a retailer's web site, interact with an e-commerce mobile app, or open a retail email. As a case in point, we will illustrate how Jetlore's machine learning to rank technology, previously available only to the top search engines like Google, is currently utilized by some of the world's largest retailers to power millions of consumer experiences on a daily basis. At the very end, we will try to take a peak at the future: how traditional software components like authentication, code compilation, continuous integration, or system monitoring can all benefit from AI as a service at scale.

Profile

Zexi Mao is a Data Scientist at Jetlore, the leading predictive AI platform for retail and beyond. He received BS in Computer Science and Technology from Zhejiang University, China in 2013, and MS in Language Technologies from Carnegie Mellon University in 2015.