Connecting Media, Audience and Advertsing with Data. How media companies can benefit from Big Data, Open Data , Linked Data, Small Data to value their assets, improve their audience satisfaction and better monetize their inventories
Connecting Media, Audience and Advertising with Data
24 June 2014 – UAM Madrid
150 professionals / 30 speakers
keynotes / round tables / user cases / networking
Digitalization has positioned data in the center of the audiovisual media ecosystem.
A better control of content combined with a better understanding of the audience already enables to back up editorial decisions. It opens opportunities to offer more relevant content and more personalized experiences adapted to multi-device and contextual environment.
For publishers, how to efficiently leverage data has turned into a strategic question and became a new key to power its editorial, marketing and sales activities.
Good use of data enables to structure catalogues, reinforce the value of its assets, better know its audience and monetize its inventories thanks to new tools. When it is well controlled it can lead to find new audiences and open ways to diversification.
How Big, Small, Open and Linked Data can transform media contents into structured, rich and actionable knowledge?
How data help to connect audience with relevant content and drive the entertainment experience?
How business intelligence and real time analytic open doors for advanced advertizing solutions and new business opportunities for content owners and mediabrands?
On the 24th of June in Madrid, 150 professionals with 30 experts will explore those questions via practical cases, inspiring keynotes and debates.
In parallel, workshops will allow to better understand the practical operations of professional solutions critical for the success of Big Media.
Facebook lance une nouvelle version de ses API à destination des médias, en particulier les chaînes de télévision afin de se relancer dans la bataille de la "Social TV" face à Twitter, qui a pris une bonne longueur d’avance.
Le programme Public Content Solutions de Facebook ouvre à un nombre restreint de partenaires revendeurs (dont MassRelevance/Spredfast, Livefyre, Never.no ou Monterosa) l’accès à de précieuses informations sur les sujets les plus cités, "likés"ou partagés chez ses utilisateurs.
Quel responsable de rédaction n’a jamais rêvé de connaître les sujets qui suscitent le plus d’intérêt à l’échelle d’un pays ?
C’est désormais chose possible pour une poignée d’heureux élus dont CNN et NBC qui utilisent déjà quotidiennement à l’antenne ces « what’s trending right now ». L’expression "média social" prenant plus de sens que jamais.
Based on Comcast's recent comments that "TV will change more in the next 5 years than it has in the last 50", telcos could rule TV and home entertainement more than ever by 2020. Here’s why. Presented at the Connected TV World Summit, June 2014. #CTVS14
Few would have predicted the match results following thirty-two games into the 2014 World Cup, but many had predicted the remarkable second screen activity during broadcasts of the competition.
The opening rounds have been noteworthy for on-pitch activity, but also for the on-screen activity of millions of smartphone, tablet and connected app viewers around the world.
During some qualification matches, more than 400,000 dual-screeners were sync’ed to global telecasts, and connected with supplementary content provided by app developers and app users.
Fans are able to make live predictions, rate player actions, share top moments and personal passions, post photos and videos, react to opinions on match topics ('That yellow card was not deserved!' 'Those aren't teeth, they're special implants!') and tweeting from the inside the applications.
Visiware is another leading provider of second-screen solutions, and its recently launched Sync2Ad platform uses a synchronized mobile ad-unit that plays in real-time with TV spots, as developers continue to explore ways that the second screen brings together audiences, advertisers and content in a unique interactive media experience.
Dedicated apps for the event, such as Televisa’s Deportes, ESPNSync, and L’Equipe Connect, are powered by Visiware's Sync2TV platform.
Sync2TV powers interactive engagement for its clients World Cup 2014 matches on iOS devices, Android devices, and on the Web, providing live game stats, gamification, social buzz, and video commentary.
“The World Cup 2014 has shown even greater uptake for second screen activity than we thought. The second screen has become a key component of sports and entertainment consumption,” said Laurant Weill, founder and executive chairman of Visiware. “Users are now telling us that they will no longer see a game without a second-screen application.”
When Breaking Bad scored three Emmy wins last fall, its showrunner, Vince Gilligan, credited Netflix for his show’s longevity and for heightening its popularity. Similarly, program execs in general have been thrilled with how streaming video services have made up for lost DVD revenue. But a little bloom is off the rose.
“The places we have to go to find [usage data for Netflix] are either private research companies that field panels, which you pay a lot of money to maintain, or we can do surveys. But surveys are notoriously unreliable,” said one network executive. That person notes that some Netflix rivals, like Hulu (which is owned by programmers and therefore more transparent) and iTunes (which is a pay-to-play model) aren’t as problematic.
Yahoo has released a massive dataset for researchers to experiment on. The dataset includes URLs for nearly 100 million images and 700,000 videos, as well as their metadata. Soon, a larger supercomputer-processed dataset that includes audio and visual features will be available.
Tandis que le temps fort de la Coupe du Monde de Football produit ses effets sur la marque L’Equipe, Marianne Siproudhis, Présidente de Amaury Médias depuis 5 ans, revient sur la stratégie de la régie qui entame une phase «techno». Elle sera illustrée à la rentrée par l’offre data de la régie. En 2016, 40% du CA de la régie sera réalisé par le digital et la TV. Durée : 4min
It s been said for years that the page view is dead as a way to measure media on the web. Now, finally, there may be a replacement. Advertisers and publishers are increasingly asking if time or “attention” — proven time spent engaging with media — can work instead.
Microsoft has been on quite a cloud roll lately and today it announced a new cloud-based machine learning platform called Azure ML, which enables companies to use the power of the cloud to build applications and APIs based on big data and predict future events instead of looking backwards at what happened.
The product is built on the machine learning capabilities already available in several Microsoft products including Xbox and Bing and using predefined templates and workflows has been built to help companies launch predictive applications much more quickly than traditional development methods, even allowing customers to publish APIs and web services on top of the Azure ML platform.
When Quartz, the fast growing global business website from Atlantic Media, announced that it had created a chart building tool to enable reporters to quickly generate visually appealing charts, some of the writers and editors at its sister publications were a bit jealous. Kimberly Lau, the vice president and general manager of The Atlantic Digital, …
Will Keenan, president of Endemol Beyond USA, who oversees the launch of new digital ventures in the U.S. and is building a network of genre-focused premium channels, looks at what’s happening with content today, and sees “history book stuff.”
“The consumer is now in control,” he said July 6, speaking at the Social TV Summit. “And we have a chance to partner with them, not fight against them. The barbarians are at the gates, and they’re Millennials. Let them in now, collaborate with them.
Thanks to ongoing advances in computing and warehousing technologies, big data keeps getting bigger and advanced analytics such as predictive modeling make it ever more useful. The proliferation of smart devices, cloud computing and SaaS applications, both in our personal lives and the workplace, gives us the ability to know more about human behaviors and practices than ever before.
Fueled by an ever-increasing volume of big data, predictive modeling is being used to improve everything around us from the way we shop to the entertainment we enjoy, and the way we receive health care. The more we know about the past and present, the better we're able to predict the future to serve others, making faster and better informed decisions capable of reducing costs and increasing customer satisfaction.
Predictive modeling's deep dive into big data is reaping amazing insights into the way we live, work and play. These insights are leading to innovations and first-in-market opportunities that not only serve corporate interest, but our general condition, responding faster and more cost effectively to customer and constituent needs.
Beamly, the service that was recently rebranded from Zeebox, has launched a new Chrome extension that displays Tweets as part of the UK’s leading catch-up services.
The Beamly OnDemand extension adds a social panel to the BBC iPlayer, ITV Player and Channel 4’s 4oD on-demand services, displaying tweets and comments that were made about a show at that moment it first broadcast on TV.
A la demande d'Arnaud Montebourg, l'opérateur prépare une offre concurrente à celle de l'américain Netflix, prévue pour septembre en France. Basé sur le catalogue d'Orange Cinema Séries, ce service sera inclus dans une clef connectable aux téléviseurs de salon.
What happens when a tech company makes its own television shows? We get the inside details this week from a children's television veteran whose latest show
Santomero explains how Amazon’s approach meshes with her own focus on research-driven television programming, and how the emergence of apps and interactive television are changing the world of content creation. She also provides guidance to parents on managing screen time for kids, and shares her memories of Fred Rogers, one of the biggest influences on her life and career.
Across a wide range of industries from health care and financial services to manufacturing and retail, companies are realizing the value of analyzing data with Hadoop. With access to a Hadoop cluster, organizations are able to collect, analyze, and act on data at a scale and price point that earlier data-analysis solutions typically cannot match.
While some have the skill, the will, and the need to build, operate, and maintain large Hadoop clusters of their own, a growing number of Hadoop’s prospective users are choosing not to make sustained investments in developing an in-house capability. An almost bewildering range of hosted solutions is now available to them, all described in some quarters as Hadoop as a Service (HaaS). These range from relatively simple cloud-based Hadoop offerings by Infrastructure-as-a-Service (IaaS) cloud providers including Amazon, Microsoft, and Rackspace through to highly customized solutions managed on an ongoing basis by service providers like CSC and CenturyLink. Startups such as Altiscale are completely focused on running Hadoop for their customers. As they do not need to worry about the impact on other applications, they are able to optimize hardware, software, and processes in order to get the best performance from Hadoop.
In this report we explore a number of the ways in which Hadoop can be deployed, and we discuss the choices to be made in selecting the best approach for meeting different sets of requirements.
Key findings include:
Hadoop is designed to perform at scale, and large Hadoop clusters behave differently from the small groups of machines developers typically use to learn.
There are a range of models for running a Hadoop cluster, from building in-house talent and infrastructure to adopting one of several Hadoop-as-a-Service solutions
Competing HaaS products bring different costs and benefits, making it important to understand your requirements and their strengths and weaknesses. Some offer an environment in which a customer can run — and manage — Hadoop while others take responsibility for ensuring that Hadoop is available, maintained, patched, scaled, and actively monitored.
There's no easy fix for comments, which is why Knight's spending $4 million on software they hope can fit any newsroom's needs: "It should be a bunch of parts that you can assemble and reassemble."
Both excitement and skepticism surrounded Thursday’s announcement that Knight has invested $3.89 million to help The New York Times, The Washington Post, and Mozilla collaborate on an open-source community engagement platform. Lots of people were simply confused — why does anyone need millions of dollars to build a commenting system?
A small team at NPR was given six weeks of development resources to build an analytics dashboard.
NPR already uses Google Analytics and Chartbeat to monitor its analytics. (Another part of the social media team’s work is to build small tools to make sharing easier; one of those is a bookmarklet to add Google Analytics tracking codes to the end of URLs.) While those off-the-shelf products are useful, Kramer and Bryan said they can be complicated to understand and don’t always provide the best information. Instead, they wanted to create a dashboard that allows NPR to use the data to inform their content decisions.
NPR doesn’t introduce any new form of measuring analytics with its dashboard; rather, it takes existing information and presents it in a way that’s more easily digestible. It clearly shows where a story’s traffic is coming from, how it’s being shared on social media and elsewhere, and whether readers are interacting with embedded audio or slideshows. The dashboard was designed to answer simple questions: How much attention is this story getting? How are people getting to this story? Who posted this story on social media?
The dashboard will be housed online and information from it will be sent out in a daily internal email, Kramer said.
'Content' and 'storytelling' were the buzzwords at Cannes Lions, but Havas' content-creation engine is turning talk into action
Havas' Social Newsroom is a content-creation engine both monitoring and responding to what's been happening at Cannes Lions 2014 this week. With a team of data analysts, content strategists, community managers, creative technologists, production experts, designers, photographers and editors based there from early until late, it's proved a busy week for the team.
The idea behind the Social Newsroom reflects Havas Group's new "together" mantra and "Havas villages" framework, while the initiative itself started at agency Cake in London. "We called it Social Newsroom to show a spirit of collaboration. It's a neutral name and we want to engage the rest of the network," explains Mike Mathieson, Cake's CEO. "There should be a Social Newsroom in every major market. Seeing it live here this week makes a big difference in terms of people understanding what it's all about. But it's not just about reporting, it's about using your own tone of voice too."
A story on the rise of women serving time in prison in the U.S. is the sort of thing you might expect to see from the national desk at The New York Times. If you followed a link to it off Twitter or Facebook, seeing the story's multimedia features would only support that idea.
But the careful reader (or journalist who pays attention to these things) will notice the “Paid Post” small print sitting atop the story. It’s an impressive piece of native advertising, and the credit belongs to the Times’ recently created T Brand Studio, which plans to use many of the techniques and tools of the paper in crafting sponsored content. The story on women in prison, sponsored by Netflix in support of Orange Is The New Black, has all the multimedia touches we’ve come to expect on deeply-reported features from the Times. The 1,500-word piece by Melanie Deziel includes illustrations, graphics, and high-quality video and audio interviews with current and former inmates.