Data Science and Entertainment Production

author: Jen Walraven, Netflix, Inc.
published: Sept. 24, 2018,   recorded: August 2018,   views: 6
Categories

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Description

Netflix entered the world of content production with its first Original title in 2012 and has since grown to produce over 700 Original titles around the world. Spanning pre-production (planning, budgeting, etc.), production (principal photography), post-production (editing, sound mixing, etc.), and localization and quality control (subtitle creation, resolving technical glitches, etc.), content production is a complex operation that consumes and generates significant amounts of data. Throughout this process, the application of analytics, machine learning, and optimization can unlock deeper insight. Translating this insight into actionable recommendations alongside creative teams can introduce tremendous efficiency and scalability into the production process. In this talk, we’ll discuss how data science can help tackle critical challenges in the production space, as well as opportunities on the horizon in a transforming entertainment industry.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: