Learn how data science can identify piracy, reduce lost revenue, and possibly use information for programming.
- [Instructor] If you've created digital content,…then you've taken part in the glorious experiment…of the global Internet.…Of course, you've also probably taken part, unwittingly,…in the global ring of Internet piracy,…and my point in this discussion is to talk about…how not to get ripped off.…Now, I specifically want to mention a couple of things…I'm not going to do.…What I'm not going to do is define copyright…and intellectual property, or IP,…I don't want to talk about the laws,…and ethical debates concerning intellectual property,…nor do I want to review some of the technical details…of preventing piracy.…
Those are other issues, specifically right now,…I want to talk about how data science can be used…for intellectual property in media and entertainment.…Now, there's a couple of main benefits of data science…in this realm.…One of the most interesting developments recently…is with content identification.…This refers to an entire collection of methods,…usually machine-learning methods,…for identifying images, audio, and video.…
This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It's required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor.
- Assessing the audience for performing art and live digital media
- Optimizing prices for products and performances
- Splitting limited time, money, and staffing among different outreach and sales efforts
- Honoring the requirements of government grants and private donors
- Maximizing the social nature of live events like concerts and performances
- Using competitive and predictive analytics to schedule performances for greatest audience reach and potential revenue
- Understanding how data science can identify piracy and reduce lost revenue
- Incentivizing and rewarding staff and performers without incurring additional costs