INTERVIEW: Using AI And Machine Learning to Personalize Distribution of Branded Content

by | Aug 8, 2016 | News, Press | 0 comments

MediaPost Interviews IRIS.TV’s Rohan Castelino about how publishers and brands can utilize AI and Machine Learning to engage audiences and maximize revenue.


by Laurie Petersen

Creating original branded content solves many problems for marketers, but also presents challenges  — among them distribution and realizing ROI from what can be a costly investment.

Time Inc., CBS and Telepictures are among hundreds of publishers working with IRIS.TV, which recently introduced a product to manage the distribution of branded content. Its video personalization solution uses artificial intelligence and machine learning technology so publishers can automate the programming of their video libraries for the individual based on that person’s preferences and behavior.

We spoke with Rohan Castelino, Director of Business Development & Marketing with IRIS.TV, about how this works.

While brands are increasingly looking to partner to create content to engage Millennials, how can publishers deliver guaranteed audiences to watch this content at scale while maintaining their editorial standards and trust with audiences?

Read Laurie Petersen’s full interview with Rohan Castelino at MediaPost CrossChannel

 

Managing the distribution of branded content with AI and machine learning technology @lauriepete http://bit.ly/2aFmSj7 

Photo published for Marketing Insider: Cross-Channel: Using AI And Machine Learning To Personalize Content

Marketing Insider: Cross-Channel: Using AI And Machine Learning To Personalize Content

We spoke with IRIS.TV’s Rohan Castelino about its Its video personalization solution using artificial intelligence and machine learning technology.

mediapost.com

 

Case Study Billboard IRIS.TV

 

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