Choosing Content for Netflix: How Data Leads the Way

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016

In this presentation, Paul Ellwood, VP of Data Engineering & Analytics at Netflix, talks about how the leading data-driven entertainment company uses data science to choose content for over 80 million global subscribers.

http://dominodatalab.wistia.com/medias/6nt7utf0pg?embedType=async&videoFoam=true&videoWidth=640

The company who popularized the recommendation algorithm uses technology and data as the “DNA for Netflix”, which helps them to:

• Localize content for international subscribers;
• Identify valuable content earlier than ratings services;
• Provide their creatives with metrics and dashboards they can’t get anywhere else;
• Gain competitive advantage against other networks and content purchasers.

You can follow Paul Ellwood on Twitter @pellwood, and if you’d like to learn more about what Netflix is doing with data science and machine learning, be sure to follow @NetflixData.

Slides for Paul’s presentation are available here.