Netflix spends more on content than anyone else on the Internet — and many TV networks, too
Early in the 21st Century, the value of Television used to be associated with a high number of channels. The major trend now is “consumer being in charge” – it’s all about content discovery.
Introducing thematic and mood / atmospheric metadata breaks the “closed circle” effect of basic reco algorithms, allowing for broader and more relevant content discovery
Artwork Personalization, based on psychological profiling, increases conversion rate (Demo with Eternal Sunshine of the Spotless Mind, 6 different covers for 6 personality types). This is already live for Comcast. Sidenote: that’s also standard at Netflix. They operate it with machine learning (implicit profiling) -> https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76 With deep learning, results cannot be explained afterwards, which may be a problem for more vital or sensitive usage, but OK for content recommendation
The new dashboards of VO’s E2E TV platform include comprehensive visualizations. Photos: show popularity by customer (left) and top searches by orders, attribution and clicks (right)
Note : en France le cadre légal limite considérablement le déploiement de la pub TV programmatique http://ad-exchange.fr/publicite-programmatique-et-personnalisee-sur-la-tele-en-france-mirage-ou-realite-itw-33216/ Aux USA, plus de 50% des foyers peuvent être exposés à la pub TV programmatique https://www.adweek.com/tv-video/audiences-respond-to-ads-catered-to-them-but-tv-campaigns-havent-caught-up/ mais c’est encore peu déployé en pratique https://smartyads.com/blog/programmatic-tv-ad-buying/ & https://en.idate.org/tv-programmatic/
Google had set its base camp in hall 14 (the hall dedicated to OTT software and end-to-end platform vendors)
Google Cloud & Google AI empower video tech providers with machine learning. For example, Anvato (transcoding platform) and Zorroa (front-end) employ Google Cloud to accelerate video editing with machine-learning -> auto-captioning, auto-categories, face recognition
Adressable Advertising demo: Google’s take on programmatic TV. Real-time ad serving to compatible connected TVs (HbbTV standard), targeted at household-level, based on Google Analytics data.
Presentation of Amazon Web Services for Content Creation, Distribution and Media Supply Chain, showcasing a host of solutions to help media enterprises of all types create rich, dynamic live and on-demand video experiences.
AWS machine learning features: - Automated real time transcription and caption creation - Image-based metadata creation - Live video clipping - Multilanguage subtitling and dubbing
Around it’s core product Azure, Microsoft offers a wide range of services aimed at Media Content Creators.
--> Similar to Amazon and Google, Microsoft Azure Cognitive Services generate metadata from content and then leverage this metadata in ready-to-use services.
Impressive presence of Alibaba Cloud, with a focus on AI “New Media, Powered by AI”. Alibaba has announced it is to sell the ApsaraVideo VOD platform in Europe – the first time it will be available outside China. The management layer is fully web based, and the platform provides AI-powered metadata enrichment.
With the convergence of Web and TV, it’s natural to see the development of new initiatives such as this one. “In Video Veritas”, a toolkit and a platform to spot fake videos.
How Data Revolutionizes TV & Contents
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TGI / Technocentre / MPA O&DS / CTEE
#Marketing #Innovation #Technology #Orange
How Data revolutionizes TV & Contents
Orange DS BI & Big Data seminar – 9th November 2018
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Dataviz for TV & VoD analytics
Demonstrated by Viaccess-Orca, IBC 2018. Show popularity by customer (left) and top searches by orders,
attribution and clicks (right)
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Understand audiences and advertising targets
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Make editorial choices in real time