The global one-stop shop for media executives seeking to create strategies and apply next-generation data analytics to engage audiences and grow revenue.
The inspirational study tour will visit the most innovative, data-driven companies in the world. The tour will visit major media companies in London during two dynamic days of programming about best practices in Big Data strategy, organisation, technology, and business development through powerful case studies from top data scientists, data analysts, product developers, and business strategists at each company.
In addition to our Study Tour, the global conference for media executives seeking to create strategies and apply next-generation data analytics to engage audiences and grow revenue.
And on Wednesday, February 22nd 2017 the Strategy and Idea Exchange will be held. A forum for media company executives seeking to share and learn strategies and best practices for launching and running their Big Data for Media operations. The event will be held at one of the most innovative data-driven media companies in the world, the Financial Times.
The Financial Times’ chief data scientist and member of the FT board of directors will host and moderate the discussions. Topics will be chosen by the delegates and can include:
• How do you deal with distributed platforms?
• How does data support paid content strategy, what’s working and what’s not?
• Turning audience analytics into revenue
• Building new products from audience data
Among the speakers are top executives from IBM Watson, Washington Post, Economist, Telegraph, Dow Jones, New York Times, Agora, Pangaea Alliance, the Guardian, Financial Times, Schibsted and many more.
Programming includes two days of study tours to Bloomberg, Google, Telegraph, the Guardian, IBM Watson and the BBC; the Big Data for Media Idea and Strategy Exchange at the Financial Times, and the two-day Big Data for Media conference, with inspirational case studies, instructional best practices and discussion about new technologies including artificial intelligence (AI), machine learning and predictive analytics.
For information, contact founder and organizer Martha Stone at email@example.com, or go to the website at http://inma.org/modules/event/2017BigDataLondon/agenda.cfm