Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Nir Yungster

Nir Yungster
Lead Data Scientist, JW Player

Nir Yungster leads the data science team at JW Player, focusing on providing recommendations as a service to thousands of online video publishers. Nir studied aerospace engineering at Princeton University and holds a master’s degree in applied mathematics from Northwestern University.

Sessions

4:20pm–5:00pm Thursday, 09/13/2018
Building turnkey recommendations for 5% of internet video
Location: 1A 21/22 Level: Intermediate
Secondary topics:  Deep Learning, Media, Marketing, Advertising, Recommendation Systems
Nir Yungster (JW Player), Kamil Sindi (JW Player)
JW Player—the world’s largest network-independent video platform, representing 5% of global internet video—provides on-demand recommendations as a service to thousands of media publishers. Nir Yungster and Kamil Sindi explain how the company is systematically improving model performance while navigating the many engineering challenges and unique needs of the diverse publishers it serves. Read more.