Field Garthwaite, CEO of iris.tv discuss how the company leverages data and AI to help companies optimize the performance of their video assets.
Chapter 1: About iris.tv (1:30)
Field Garthwaite, CEO of iris.tv, talks about how his company is a video personalization and programming platform. It is like a brain sitting atop a client’s infrastructure that closes the loop between video performance and provider optimization.
Chapter 2: How AI can help with processing the data (3:00)
The data providers can get from their owned-and-operated site is very rich. Mr. Garthwaite describe
Chapter 3: How to measure the performance of video assets (5:00)
Mr. Garthwaite thinks companies should look beyond just a single metric for measuring the performance of recommendations.
Chapter 4: Driving revenue with multiple business models (8:30)
How data can be used to enable a variety of monetization model.
Chapter 5: On the balance between OnO and social platforms (11:30)
Balancing distribution between owned-and-operated (OnO) sites and social platforms is tough. It all comes back to experience and optimizing ad and programming distribution where ever a provider delivers.
Chapter 6: Maximizing revenue by optimizing ad placement (14:50)
Providers can use data to balance the competing demands of viewer engagement and ad frequency and placement.
Chapter 7: On building optimal recommendations (24:00)
Mr. Garthwaite talks about how to use all the sources of content to create an optimal stream of content for the user.
Chapter 8: Cool uses for AI in media (26:00)
Mr. Garthwaite talks about how a provider can use contextual data to create business rules that align with their advertising.
Chapter 9: On boosting a TV show with bonus content (28:00)
Iris.tv helped the Ellen Show boost viewership. It did this by optimally delivering bonus content around the show on social media. Mr. Garthwaite talks about how the Daily Express is excellent at understanding what keeps viewers watching.