ºÝºÝߣshows by User: RohanCastelino / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: RohanCastelino / Mon, 14 Sep 2015 15:24:32 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: RohanCastelino IRIS.TV Talks Future of Video Personalization at Cross Campus LA /slideshow/iristv-talks-future-of-video-personalization-at-cross-campus-la/52759972 iristvlamachinelearningpublic-150914152432-lva1-app6891
In a digital economy moving more towards personalization, consumers expect recommendation services to work seamlessly and intelligently. Publishers and distributors of video are being judged not only on the quality of their content, but also on their user experience. This has resulted in a shift toward personalized recommendation engines to increase engagement and improve retention. Beyond the user interface, the quality of the experience is largely influenced by the ability to present the viewer with the most relevant content in real time. IRIS.TV Chief Data Scientist Dr. Thomas Sullivan and VP of Engineering Joel Spitalnik explore these topics before the LA Machine Learning Group. Watch the talk here http://www.iris.tv/iris-tv-industry-research-reports/iris-tv-talks-future-of-personalization-la-machine-learning-group/]]>
In a digital economy moving more towards personalization, consumers expect recommendation services to work seamlessly and intelligently. Publishers and distributors of video are being judged not only on the quality of their content, but also on their user experience. This has resulted in a shift toward personalized recommendation engines to increase engagement and improve retention. Beyond the user interface, the quality of the experience is largely influenced by the ability to present the viewer with the most relevant content in real time. IRIS.TV Chief Data Scientist Dr. Thomas Sullivan and VP of Engineering Joel Spitalnik explore these topics before the LA Machine Learning Group. Watch the talk here http://www.iris.tv/iris-tv-industry-research-reports/iris-tv-talks-future-of-personalization-la-machine-learning-group/]]> Mon, 14 Sep 2015 15:24:32 GMT /slideshow/iristv-talks-future-of-video-personalization-at-cross-campus-la/52759972 RohanCastelino@slideshare.net(RohanCastelino) IRIS.TV Talks Future of Video Personalization at Cross Campus LA RohanCastelino In a digital economy moving more towards personalization, consumers expect recommendation services to work seamlessly and intelligently. Publishers and distributors of video are being judged not only on the quality of their content, but also on their user experience. This has resulted in a shift toward personalized recommendation engines to increase engagement and improve retention. Beyond the user interface, the quality of the experience is largely influenced by the ability to present the viewer with the most relevant content in real time. IRIS.TV Chief Data Scientist Dr. Thomas Sullivan and VP of Engineering Joel Spitalnik explore these topics before the LA Machine Learning Group. Watch the talk here http://www.iris.tv/iris-tv-industry-research-reports/iris-tv-talks-future-of-personalization-la-machine-learning-group/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iristvlamachinelearningpublic-150914152432-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In a digital economy moving more towards personalization, consumers expect recommendation services to work seamlessly and intelligently. Publishers and distributors of video are being judged not only on the quality of their content, but also on their user experience. This has resulted in a shift toward personalized recommendation engines to increase engagement and improve retention. Beyond the user interface, the quality of the experience is largely influenced by the ability to present the viewer with the most relevant content in real time. IRIS.TV Chief Data Scientist Dr. Thomas Sullivan and VP of Engineering Joel Spitalnik explore these topics before the LA Machine Learning Group. Watch the talk here http://www.iris.tv/iris-tv-industry-research-reports/iris-tv-talks-future-of-personalization-la-machine-learning-group/
IRIS.TV Talks Future of Video Personalization at Cross Campus LA from IRIS.TV
]]> 308 7 https://cdn.slidesharecdn.com/ss_thumbnails/iristvlamachinelearningpublic-150914152432-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-RohanCastelino-48x48.jpg?cb=1551821960 IRIS.TV is a cloud-based personalized video programming system that allows publishers and content owners to generate more video views and engage users across all devices. The company’s product suite is designed to increase video consumption and simplify operations for web, mobile, and OTT video distribution. The software integrates with existing video players using artificial intelligence and adaptive machine learning to automate streaming of personalized content based on audience preferences, user interaction, and behavioral segmentation. IRIS.TV has hundreds of customers across the world that rely on the company’s video programming platform to keep their audiences watching. iris.tv