Supporting content decisions at Netflix with Data Science
02 Mar 2018 Friday, 10:30 AM to 12:00 PM
COM2 Level 4
Executive Classroom, COM2-04-02
Founded in 1997, Netflix is world's leading entertainment service with over 109 million members in over 190 countries enjoying more than 140 million hours of TV shows and movies per day. In 2017, we spent 6 billion dollars on content. Data Science plays a key role in scaling our content acquisition decisions. In this talk, I will review the ways in which Netflix employs data-science techniques to aid decision making around content-licensing and content-acquisition. I will give a high level overview of the methods we use to ensure that we have the optimal mix of content in every country to cater to individual tastes of our growing and diverse audience.
Ashish Rastogi is a Senior Data Scientist at Netflix in Los Angeles, California, where he works on applying machine learning methods to value content and optimize Netflix's global catalog. Prior to Netflix, he held various positions at Google, Goldman Sachs and most recently Bloomberg, focusing on the application of large scale statistical inference methods to a variety of domains, including web search and financial markets. He obtained a Master's degree from IIT, Delhi and a Ph.D. from the Courant Institute at NYU.