President, evalld, LLC
Kenneth is a well known data science leader and consultant. He is a reformed academic economist who likes to empower customers to solve problems with data. He has spent time in academia (Middle Tennessee State University, U of Cincinnati, Peace College, Boston College), consulting (Deloitte), and software development (SAS, H2O.ai, Dataiku). He has a Ph.D. in Economics from the University of Kentucky in Lexington and his work on price optimization has been published in peer-reviewed journals. He is often asked to quote on topics regarding data science in the press (NY Times, Inc, Reuters, AP).
Track: Marketing Analytics
Tuesday, April 16, 4:40–5:30pm
Deploying Product Recommendation Engines at Scale
Deploying data science projects is difficult for any organization. For marketers looking to compete with the disruptive forces of GAFA and other data science-first companies, the successful deployment of data science projects is imperative to long-term success. In this talk we will discuss people and process strategies to quickly prototype and deploy data science at scale. We will discuss several strategies of data science team organization and several alternative methods of deploying models. The talk will close with a detailed description how a company builds and deploys product recommendations as a REST API at scale.