Big Media (En & Fr)
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SEO: The YouTube Ranking Factors [Infographic]

SEO: The YouTube Ranking Factors [Infographic] | Big Media (En & Fr) | Scoop.it
YouTube is the second largest search engine in the world. What factors play a role in order to be listed in the top results of the youTube search? Nowaday

Via Robin Good
Nicolas Moulard - Actuonda's insight:

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Pedro Barbosa's curator insight, February 3, 2013 4:16 AM

Pedro Barbosa | www.pbarbvosa.com | www.harvardtrends.com

Pallab Kakoti's comment, March 4, 2013 2:36 PM
simply WOW stuff!!
Paula Arenas's curator insight, March 5, 2013 1:11 AM

la fórmula sigue siendo un misterio, pero todo ayuda

Big Media (En & Fr)
En preparation de l'évènement II Big Media Paris, le 28 nov 2016 @ INA Issy-les-Moulineaux. Des médias aux marques média : Transformer la data en expérience client​. Co-organisé par Actuonda, Perfect Memory et l'INA. http://www.bigmediaconnect.fr/
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Des médias aux marques média : Transformer la data en expérience client​ #SaveTheDate 'Big Media Paris' 28 Nov 2016 (14h-16h) @ INA

Des médias aux marques média : Transformer la data en expérience client​ #SaveTheDate 'Big Media Paris' 28 Nov 2016 (14h-16h) @ INA | Big Media (En & Fr) | Scoop.it

II BIG MEDIA PARIS

Des médias aux marques média : Transformer la data en expérience client​

Lundi 28 Novembre 2016, 14h-16h @ INA Issy-Les-Moulineaux

 

La digitalisation a positionné les data au centre de l’écosystème des médias.

Les données savamment raffinées constituent un formidable atout pour valoriser leurs contenus en offrant à leurs publics des expériences personnalisées plus pertinentes.
 

Comment enrichir efficacement l'expérience des utilisateurs par les data ?


Cette question, au cœur des enjeux stratégiques pour les médias et marques média, sera abordée par une dizaine d'experts à l’occasion de cette seconde édition de Big Média Paris, à laquelle nous espérons avoir le plaisir de vous accueillir.

 

Suite au succès de la première édition Big Media Paris en 2016 à Telecom Paris Tech, la société ACTUONDA organise une nouvelle édition en France de BIG MEDIA, rendez-vous des professionnels des médias et des stratégies « Big Data », en association avec l'INA et Perfect Memory


Informations/inscription sur http://www.bigmediaconnect.fr/

 

 

PROGRAMME

14h Acceuil

  • Laurent Vallet, Directeur de l’INA ou Jean-Marc Boero, Secrétaire Général

14h10 Keynotes d’introduction

  • Prisma Media : Philipp Schmid, Chief Transformation Officer et Directeur Exécutif Régie
  • Adyax : Maxime Topolov (Co-founder CTO), spécialiste Data/UX/Drupal

14h40 Débat

  • INA : Gautier Poupeau (Data Architect)
  • France Television : Matthieu Parmentier (R&D Projets Manager) 
  • RTL Belgium: Antoine Pichault (Manager des Archives et de la Documentation Audiovisuelle)
  • EBU : Jean-Pierre Evain (Principal Project Manager), spécialiste européen des Metadata
  • Perfect Memory : Steny Solitude (CEO), Francois Chiche (COO)

15h30 Workshop

  • animé par Perfect Memory

Evènement VIP, places limitées à 50 professionnels des médias:  éditeurs de contenus multimédia digitaux, marques médias, fournisseurs de solutions et services, startups, intégrateurs/OEM, centres de recherche et laboratoires, spécialistes académiques et institutions publiques, journalistes…

 

 

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Gartner Identifies Three Megatrends That Will Drive Digital Business Into the Next Decade

Gartner Identifies Three Megatrends That Will Drive Digital Business Into the Next Decade | Big Media (En & Fr) | Scoop.it

AI Everywhere

Artificial intelligence technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks; these will enable organizations with AI technologies to harness data in order to adapt to new situations and solve problems that no one has ever encountered previously.

Enterprises that are seeking leverage in this theme should consider the following technologies: Deep Learning, Deep Reinforcement Learning, Artificial General Intelligence, Autonomous Vehicles, Cognitive Computing, Commercial UAVs (Drones), Conversational User Interfaces, Enterprise Taxonomy and Ontology Management, Machine Learning, Smart Dust, Smart Robots and Smart Workspace.

Transparently Immersive Experiences

Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and in interacting with businesses and other people.

Critical technologies to be considered include: 4D Printing, Augmented Reality (AR), Computer-Brain Interface, Connected Home, Human Augmentation, Nanotube Electronics, Virtual Reality (VR) and Volumetric Displays.

Digital Platforms

Emerging technologies require revolutionizing the enabling foundations that provide the volume of data needed, advanced compute power, and ubiquity-enabling ecosystems. The shift from compartmentalized technical infrastructure to ecosystem-enabling platforms is laying the foundations for entirely new business models that are forming the bridge between humans and technology.

Key platform-enabling technologies to track include: 5G, Digital Twin, Edge Computing, Blockchain, IoT Platform, Neuromorphic Hardware, Quantum Computing, Serverless PaaS and Software-Defined Security.

"When we view these themes together, we can see how the human-centric enabling technologies within transparently immersive experiences — such as smart workspace, connected home, augmented reality, virtual reality and the growing brain-computer interface — are becoming the edge technologies that are pulling the other trends along the Hype Cycle," said Mr. Walker.

"AI Everywhere" emerging technologies are moving rapidly through the Hype Cycle. Technologies such as deep learning, autonomous learning and cognitive computing are just crossing the peak, which shows that they are key enablers of technologies that create transparent and immersive experiences.

Finally, digital platforms are rapidly moving up the Hype Cycle, illustrating the new IT realities that are possible by providing the underlining platforms that will fuel the future. Technologies such as Quantum Computing (climbing the Innovation Trigger) and Blockchain (having passed the peak) are poised to create the most transformative and dramatic impacts in the next five to 10 years.

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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data by Chatbotslife

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data by Chatbotslife | Big Media (En & Fr) | Scoop.it
Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for each major topic.
This is the most complete list and the Big-O is at the very end, enjoy…
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Customer insight among the business benefits of a marketing data lake [Prepa #BigMedia]

Organizations looking to implement a data lake project should start exploring its potential business benefits and not wait for the technology to be perfect, according to Sumit Sarkar, chief data evangelist at Progress Software Corp. Sarkar spoke with SearchCIO at the recent Cloud Expo in New York, where he highlighted the benefits that his company has achieved from building a marketing data lake. He also shed light on how creating a marketing data lake has helped Progress gain better customer insight and offered best practices for data lake implementation.

 

In this SearchCIO video, Sumit Sarkar, chief data evangelist at software company Progress, discusses the benefits of implementing a marketing data lake.

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Amazon devient un géant de la pub grâce aux data de ses clients [prepa #BigMedia]

Amazon devient un géant de la pub grâce aux data de ses clients [prepa #BigMedia] | Big Media (En & Fr) | Scoop.it
L'e-commerçant permet aux agences et annonceurs d'utiliser sa donnée transactionnelle au sein de son propre inventaire mais aussi d'autres ad-exchanges.

Dans un marché français de la publicité online verrouillé par deux acteurs, Google et Facebook, qui captent près des deux-tiers des investissements, un nouvel entrant essaie de bousculer la hiérarchie. Le géant mondial de l'e-commerce Amazon (près de 140 milliards de dollars de chiffre d'affaires en 2016) investit depuis deux ans dans une offre publicitaire baptisée Amazon Media Group. Celle-ci permet aux agences et annonceurs d'utiliser la data de l'e-commerçant pour acheter son inventaire natif mais aussi au sein d'autres ad-exchanges en utilisant le DSP maison. Ce dernier est déjà connecté aux principales places de marché : Google Adexchange, Appnexus, Rubicon Project…
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Inside The New York Times' international programmatic strategy - Digiday

Inside The New York Times' international programmatic strategy - Digiday | Big Media (En & Fr) | Scoop.it
“We get that one size doesn’t fit all; everything is customized and specific to client needs."
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A/B Testing and Beyond: Improving the Netflix Streaming Experience with Experimentation and Data…

A/B Testing and Beyond: Improving the Netflix Streaming Experience with Experimentation and Data… | Big Media (En & Fr) | Scoop.it
A key component of having a great Internet TV service is the streaming quality of experience (QoE). Our goal is to ensure that you can sit back and enjoy your favorite movie or show on Netflix with a picture quality that delights you and a seamless experience without interruptions or errors. While streaming video over the Internet is in itself no small feat, doing it well at scale is challenging (Netflix accounts for more than a third of Internet traffic at peak in North America). It gets even more complex when we’re serving members around the world with not only varying tastes, network infrastructure, and devices, but also different expectations on how they’d like to consume content over the Internet.
How do we ensure that the Netflix streaming experience is as enjoyable in São Paulo, Mumbai, and Bangkok as it is in San Francisco, London, or Paris? The engineers and scientists at Netflix continuously innovate to ensure that we can provide the best QoE possible. To enable this, Netflix has a culture of experimentation and data-driven decision making that allows new ideas to be tested in production so we get data and feedback from our members. In this post, I’ll focus on the experimentation that we do at Netflix to improve QoE, including the types of experiments we run, the key role that data science plays, and also how the Netflix culture enables us to innovate via continuous experimentation. The post will not delve into the statistics behind experimentation but I will outline some of the statistical challenges we’re working on in this space.
We also use data to build Machine Learning and other statistical models to improve QoE; I will not focus on the modeling aspect here but refer to this blog post for an overview and this post highlights one of our modeling projects. It’s also worth noting that while the focus here is on QoE, we use experimentation broadly across Netflix to improve many aspects of the service, including user interface design, personalized recommendations, original content promotion, marketing, and even the selection of video artwork.
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Nielsen’s TV ratings now include Hulu and YouTube TV

Nielsen’s TV ratings now include Hulu and YouTube TV | Big Media (En & Fr) | Scoop.it
Nielsen is taking a big step in measuring streaming TV today with the addition of Hulu and YouTube TV to its ratings. Nielsen's President of Product..
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How can creative industries benefit from blockchain?

How can creative industries benefit from blockchain? | Big Media (En & Fr) | Scoop.it
The technology that enables Bitcoin could redefine how artists distribute and are paid for their work.

Via Christophe Peckeu
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RAI Active News: Integrating knowledge in the newsrooms

RAI Active News: Integrating knowledge in the newsrooms | Big Media (En & Fr) | Scoop.it
In the modern digital age methodologies for professional Big Data analytics represent a strategic necessity to make information resources available to professional journalists and media producers in a more effective and efficient way and enabling new forms of production like data-driven journalism.

The challenge lies in the ability of collecting, connecting and presenting heterogeneous content streams accessible through different sources, such as digital TV, the Internet, social networks and media archives, and published through different media modalities, such as audio, speech, text and video, in an organic and semantics-driven way.

Rai Active News is a portal for professional information services that addresses these challenges with a uniform and holistic approach.

At the core of the system there is a set of artificial intelligence techniques and advanced statistical tools to automate tasks such as information extraction and multimedia content analysis targeted at discovering semantic links between resources, providing users with text, graphics and video news organized according to their individual interests.
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Google says it wants to fund the news, not fake it

Google says it wants to fund the news, not fake it | Big Media (En & Fr) | Scoop.it
Under fire from several quarters for an array of accusations ranging from monopolistic practices to the dissemination (and even funding) of fake news, plus questionable measurement procedures, Google is hitting back with both defiant words, as well as financial handouts. The Drum sat down with Madhav Chinnappa, Google’s director of strategic relations, news & publishers, to discuss its two year-old Digital News Initiative.
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Médiamétrie veut créer une mesure standard de la donnée média via eMarketing

Médiamétrie veut créer une mesure standard de la donnée média via eMarketing | Big Media (En & Fr) | Scoop.it

L'institut de mesures d'audiences Médiamétrie annonce le lancement de son sixième comité, consacré à la data. Principal objectif : définir une référence commune des data média en France.

Vers une référence commune des data média ? L'institut de mesures d'audience Médiamétrie annonce la création d'un comité "Data", réunissant dix-sept des principaux acteurs de la donnée en France, médias, pure players, agences, annonceurs ou, encore, opérateurs télécom. Ainsi, se côtoient l'ACPM, Canal + Régie, Dentsu Aegis Network, France Télévisions Publicité, Group M, Groupe Figaro / CCM Benchmark Group, Havas Média, Lagardère Active Digital, Les Echos, M6 Publicité, Omnicom Media Group, Orange France, Prisma Média, Publicis Média, Le Bon Coin, TF1 et l'Union des Annonceurs. Avec une mission de taille : créer un mètre étalon des data média en France, en termes de format et de cibles, afin de faciliter l'utilisation des données et leur mutualisation par le marché publicitaire et les éditeurs. Contrôle de la qualité des données, de l'homogénéité des méthodes et de la transparence devraient être au programme du comité.

"À l'image de ce que nous sommes dans le domaine de l'audience, nous souhaitons que Médiamétrie favorise l'émergence d'une référence commune des data média en France, un tiers de confiance neutre et indépendant", explique Benoît Cassaigne, directeur exécutif de Médiamétrie, dans un communiqué. Il poursuit : "Notre objectif est d'aider les éditeurs à valoriser leurs offres en nous appuyant sur notre expertise et nos savoir-faire méthodologiques et technologiques".

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How Santander's using first-party data to increase loyalty - Digiday [Prepa #BigMedia]

How Santander's using first-party data to increase loyalty - Digiday [Prepa #BigMedia] | Big Media (En & Fr) | Scoop.it
Security concerns have shackled the use of customer data at banks. At Santander UK, however, restrictions are loosening after its marketing team proved that being adventurous with people’s data can deliver value.

To convince its board to let marketing take responsibility for creating value out of its banking data, Santander tested various data-led strategies for months with its agency Carat. Santander insists it’s not too far from being able to build strategies around an “audience of one,” effectively switching from trying to reach unknown audiences with rudimentary targeting to speaking directly to people it knows.

Santander’s confidence stems from what it saw during those tests, the first of which mixed a small portion of its CRM data with similar audience data from Facebook earlier this year to understand why customers weren’t downloading its mobile app and what would convince them to use it regularly. The results were “staggering”, the bank claimed, but it declined to share exact figures due to commercial reasons. However, Santander was able to apply those findings to parts of its search, social and programmatic activity, the top-line results of which it was able to share.
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Nielsen adds Facebook, Hulu, YouTube to digital measurement scheme

Nielsen adds Facebook, Hulu, YouTube to digital measurement scheme | Big Media (En & Fr) | Scoop.it
Giving the video industry a better insight in online video, Nielsen will begin crediting video content distributed on Facebook, Hulu and YouTube within its Digital Content Ratings.
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Comment l’intelligence artificielle bouleverse l’industrie des médias [prepa #BigMedia]

Comment l’intelligence artificielle bouleverse l’industrie des médias [prepa #BigMedia] | Big Media (En & Fr) | Scoop.it
Les récentes avancées en intelligence artificielle (IA) ont permis la naissance de nombreuses applications et outils qui changent profondément le métier des médias. Ceux-ci doivent s’adapter et placer l’IA au cœur de leur organisation. Par Denis Vilar, cofondateur de Pulpix.
Au cours des cinq dernières années, les groupes médias se sont tous dotés de Data Management Platform (DMP), des bases de données centralisant les données des utilisateurs. C'était un premier pas vers la science des données, mais les DMP restaient à vocation publicitaire exclusivement : agréger des cookies, identifier des segments d'audience et optimiser le ciblage publicitaire.

Or, aujourd'hui, l'essor de l'intelligence artificielle crée une multitude d'opportunités et de nouvelles approches qui révolutionnent l'ensemble de la chaîne de valeur des médias, et leurs métiers :

Prédiction et stratégie de contenus : prédire quel contenu produire sur la base de données passées de consommation. C'est l'approche opérée par Netflix pour choisir quelle série produire, ou bien Buzzfeed pour déterminer quel article rédiger. L'IA et la data science peuvent ainsi permettre aux rédacteurs en chef d'orienter leurs stratégies de contenus : quelles verticales ou thématiques traiter ? Quelle est la durée optimale des vidéos ? Quel format marche le mieux ? Quels segments d'audience ont été délaissés ?
Production : On voit apparaître de plus en plus d'outils reposant sur l'IA pour produire des contenus de façon (semi) automatique et à faible coût. Si la qualité et l'image de marque sont aujourd'hui discutables, ces solutions ne vont faire que s'améliorer au cours du temps, et d'ici quelques années la qualité sera sans doute comparable à un rendu professionnel.
Personnalisation : montrer le bon contenu à la bonne personne au bon moment. Ceci n'est pas nouveau, on en parle depuis 2005 (à l'époque on appelait ceci le Web 2.0), mais les avancées récentes en IA rendent les algorithmes de recommandation un ordre de grandeur plus performants.
Ciblage publicitaire : Afficher la bonne publicité à la bonne personne au bon moment. Le rêve de tout annonceur. Encore une fois, ceci n'est pas nouveau et a même donné naissance à toute une industrie appelée Ad-Tech. Ceci dit, l'explosion des données disponibles et la sophistication des algorithmes rendent le ciblage exponentiellement plus performant.
Audit et Contrôle : les systèmes de détection de fraude, spam et autres robots reposent tous sur de l'IA.
Mais pour vraiment briller, l'IA a besoin d'une quantité de données massive, issues d'un maximum de sources :

Sur le contenu : titre, metadata, tags, catégories, etc.
Sur les visiteurs : données démographiques, localisation, etc.
Sur l'historique de consommation : page vues, vidéos vues, temps passé, etc.
Sur le contexte de lecture : quel device, heure, jour de la semaine, etc.
Sur des événements externes : sujets "trending" sur les réseaux sociaux, événements live, la météo, etc.
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Facebook Watch and the reinvention of TV - BBC News

Facebook Watch and the reinvention of TV - BBC News | Big Media (En & Fr) | Scoop.it
Ok, perhaps today is the day that Mark Zuckerberg finally abandons the pretence that Facebook isn't a media company.
It was a year ago that, on a visit to Rome to see the Pope, he said "We are a tech company, not a media company".
Then, in December, he appeared to soften his language, saying "It's not a traditional media company. You know, we build technology and we feel responsible for how it's used."
In a blog post in December I argued that Zuckerberg's firm was indeed a media company, because it is funded by advertising, creates vast amounts of stories (or content), and is the main source of news for millions - if not billions - around the world.
Today, with the launch of Facebook Watch, a video service that will incentivise the creation of a new industry in original programming, the tech giant is moving into broadcasting in a big way.
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Disney wants to make a huge shift in its business model — but it’s not ready to do it yet

Disney wants to make a huge shift in its business model — but it’s not ready to do it yet | Big Media (En & Fr) | Scoop.it
Streaming movies to consumers is one thing. Streaming sports is something else. Bob Iger will wait on that one.
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With an eye on the duopoly, German broadcasters create a unified consumer login - Digiday [prepa #BigMedia]

With an eye on the duopoly, German broadcasters create a unified consumer login - Digiday [prepa #BigMedia] | Big Media (En & Fr) | Scoop.it
Broadcasters have become the latest media companies in Germany to challenge the market dominance of tech giants Google, Facebook and Amazon.

Two of the country’s biggest broadcasters, RTL Group and ProSiebenSat.1 Media SE, have formed an alliance with an ISP called United Internet to create a unified registration and login service for consumers. The point is to make it easier for people to control what data media and advertising businesses have from them — the rules around which will be much stricter after new European data privacy laws (General Data Protection Regulation) kick in next May. Berlin-based fashion e-commerce giant Zalando has also signed up to join the service.

The founding partners reach a combined 45 million monthly unique users, according to Germany’s online federation of marketers AGOF. Their registered users will be able to create a single ID and use the same details to log in across all four aforementioned sites (and any other company that signs up to be part of the synchronized login), and they can manage all their own settings via a unified data privacy center. That means every time a person visits a site across any of the media company’s online portfolios, they’ll be able to login with the same details or stay logged in.
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How Data Science Helps Power Worldwide Delivery of Netflix Content

How Data Science Helps Power Worldwide Delivery of Netflix Content | Big Media (En & Fr) | Scoop.it
Have you ever wondered where your video comes from when you watch Netflix? We serve video streams out of our own content delivery network (CDN), called Open Connect, which is tailored to one specific…
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Big Data or Small Data? The Correct Answer is Both - insideBIGDATA

Big Data or Small Data? The Correct Answer is Both - insideBIGDATA | Big Media (En & Fr) | Scoop.it
In this special guest feature, Dr. Ricardo Baeza-Yates, CTO at NTENT, discusses how it’s not enough to weigh data decisions on the descriptor of big versus small alone - a number of other things must be considered.
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ZoneTV Teams With Microsoft And Ooyala To Offer User-Tailored Linear TV Channels

ZoneTV Teams With Microsoft And Ooyala To Offer User-Tailored Linear TV Channels | Big Media (En & Fr) | Scoop.it
Are digital and traditional pay TV providers ready to offer a service that can automatically provide viewers with programming based on their preferences and previous selections? ZoneTV is betting that they are: The start-up hopes to raise its profile and prospects today as it unveils

Via Bruno Renkin
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Bruno Renkin's curator insight, July 26, 3:12 AM
Ooyala’s technology will make sure that different content providers’ videos look good on a TV. 

Microsoft Cognitive Services helps with the metadata and artificial intelligence capabilities needed to make recommendations.
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TV Insights – Application of Big Data to television

TV Insights – Application of Big Data to television | Big Media (En & Fr) | Scoop.it

Television continues to evolve from pure consumptive linear viewing to web-like interactive experiences. Emerging new applications, such as multi-screen discovery, consumption, and network DVR, all allow and support user interaction.

This is possible due to the evolution of TV application architectures from dedicated hardware-centric functionality to a combination of hardware appliances controlled by modular software services.

Big Data technologies can support these rich, interactive TV experiences by collecting, storing, and analysing federated events and creating usable information for end-consumers, operators, and programmers.

This paper provides an application’s view into how Big Data enables insight from user behaviour, network / appliance operations, and content analysis.

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Facebook's Subscription Plan Gives Publishers Hope at Last

Facebook's Subscription Plan Gives Publishers Hope at Last | Big Media (En & Fr) | Scoop.it
Facebook's plan to let publishers sell subscriptions on its platform is renewing some of its media partners' optimism about their future together.
Campbell Brown, head of news partnerships at Facebook, confirmed at an industry event this week that the social network will let publishers set up paywalls on the content they publish using Instant Articles, which let Facebook users read without actually visiting publishers' sites.
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Leveraging cloud-based predictive analytics to strengthen audience engagement, IBC Whitepaper by AWS

Leveraging cloud-based predictive analytics to strengthen audience engagement, IBC Whitepaper by AWS | Big Media (En & Fr) | Scoop.it
To grow their business and increase their audience, content distributors must understand the viewing habits and interests of content consumers.

This typically requires solving tough computational problems, such as rapidly processing vast amounts of raw data from websites, social media, devices, catalogs, and back-channel sources.

Fortunately, today’s content distributors can take advantage of the scalability, cost effectiveness, and pay-as-you go model of the cloud to address these challenges.

In this paper, we show content distributors how to use cloud technologies to build predictive analytic solutions.

We examine architectural patterns for optimizing media delivery, and we discuss how to assess the overall consumer experience based on representative data sources.

Finally, we present concrete implementations of cloud-based machine learning services and show how to use the services to profile audience demand, to cue content recommendations, and to prioritize the delivery of related media.
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Object-based audio for television, an IBC Whitepaper [Prepa #AudioGaming 8 sept @INA]

Object-based audio for television, an IBC Whitepaper [Prepa #AudioGaming 8 sept @INA] | Big Media (En & Fr) | Scoop.it
Object-Based Audio (OBA) is the next exciting breakthrough in television production.

It will provide personalization and an enhanced listening experience as revolutionary as sound was to motion pictures.

The age of personalization has arrived and TV consumers can view any program, at any time and on virtually any media device.

The next generation of audio encoders will have the capabilities to create OBA in television production and post-production.

The beneficial features of OBA include audio personalization for language selection, dialogue enhancements and options for the hearing impaired.

OBA provides the viewer with the ability to customize their viewing for any type of program in any viewing setting.

The future audio codec technologies will enable audio production mixers, producers and broadcasters to produce customized audio for the viewer.

This process begins at the original mix location and continues through the broadcast chain to delivery on any consumer device.

These encoders will have the capability to emit surround sound and immersive sound with over 100 channels with objects either separately or in combination with each other.

Scene based audio will also be a feature of the next generation codecs enabling the mixer to represent the sound image instead of channels.

This paper will describe the evolution from current channel based TV production to the next generation of multi-featured audio encoders with OBA and the potential benefits they will offer to all types of TV viewers.
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#IA : Tour d'horizon des startups de l'intelligence artificielle à suivre en 2017 - Maddyness

#IA : Tour d'horizon des startups de l'intelligence artificielle à suivre en 2017 - Maddyness | Big Media (En & Fr) | Scoop.it
Découvrez une sélection de startups qui, chacune dans leur secteur (éducation, RH, santé, etc), font bouger les lignes grâce à l'intelligence artificielle.
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