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It is 3 events in 1: MediaTech Con + CTPiX + VR NOW Con & Awards
Wednesday, November 14 • 10:45am - 11:45am
Trio Infernale? The inexorable convergence of Media, Tech and Data

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Digital technology has turned business upside down, leaving markets more complex, chaotic and competitive than ever before. On the other hand, these disruptive technologies produce vast amounts of valuable information about performance of countless activities, across production, marketing, distribution and logistics. All the while, new innovations in IoT, AI and blockchain are creating new ways to gather information and turn it into insights. In a bid to survive, countless companies are embracing the promise of data by becoming early adopters of new data-focused sciences, strategies and tools to thrive in the chaos created by rapid technological advancement.
But can the insights of big data really give companies a competitive edge in our technologized world? Or will they come with financial, social and cultural risks that we simply aren’t prepared for? In this session, experts at the cutting-edge of digital media and big data will take a critical look at the intersections of their disciplines today in order to parse what these developments mean for the future of our industries.

Speakers
avatar for Prof. Annabelle Gawer

Prof. Annabelle Gawer

Director of CoDE, the Centre for Digital Economy (MTCon + CTPiX Speaker), University of Surrey
An award-winning researcher, author, and educator, Professor Annabelle Gawer is an expert on digital platforms such as Google and Facebook, and on platform-based innovative business ecosystems.Highly-cited author of two books (Platform Leadership, and Platform, Markets and Innova... Read More →
avatar for Dr. Ralf Krestel

Dr. Ralf Krestel

Head of Web Science Research Group (MTCon Speaker), Hasso-Plattner-Institute
Dr. Ralf Krestel is Senior Researcher and head of the Web Science Group at Hasso Plattner Institute for Digital Engineering at University of Potsdam. His research centers around text mining, information retrieval, recommender systems, natural language processing, and machine learning... Read More →


Wednesday November 14, 2018 10:45am - 11:45am
Stage 1

Attendees (49)