BOSTON – Akin to what Pandora has done with streaming music, IRIS.TV brings adapted machine learning to video viewing preferences. Its white-label solution, licensed to digital publishers, uses artificial intelligence to create a “personalized viewing experience for every viewer,” according to CEO and Co-Founder Field Garthwaite.
In an era where video is consumed across multiple devices, engaging viewers is a challenge for even the most robust video libraries. Viewers have a wide variety of individual interests that need to be catered to, in order to keep them on your web page. How can you be effective with this at scale?
In addition to programming personalized videos for the viewer, IRIS.TV increases the stickiness of your site. More engaged users means a growing pool of advertising inventory. read more
IRIS.TV was featured prominently at the Brightcove PLAY 2015 conference in Boston this month. During the conference's opening keynote speech, Brightcove's SVP & General Manager of Media Anil Jain talked about IRIS.TV's role in the media landscape and demonstrated how the company can help publishers and brands enhance their user experience and engagement. read more
According to Adobe’s Digital Benchmark Report, in Q2 2014, US viewers watched 38.2 billion videos, a 43% increase year-on-year. Online TV viewing has increase 388% and monthly unique views for online TV are up by 146% in 2014.
With such an endless supply of content to choose from, it begs the question of how media companies, content owners, video producers can properly and efficiently distribute and monetize their video. It also makes you wonder how they can they target the right consumers, and how publishers can successfully sell advertising for high CPMs? These questions and more where explored and answered during the November 18thMonetizing Snackable Content panel at the Streaming Media West Conference. read more
How much personalization is necessary before we see diminishing returns in engagement and retention?What is the optimal mix of online and offline operations?How should technology operations be managed?
These questions and more were explored on September 15, 2014 by two experts from IRIS.TV before a packed audience of data scientists, media executives, entrepreneurs, and press at LA Machine Learning Group’s event at Cross Campus in Santa Monica, CA.