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Videos

Mexican TVolution (Spanish)

The present and future of TV is about deep understanding of the audiences. Big Data is enabling us to exploit this understanding in order to create more value. Television is the intersection of Content and Technology. Demographics do not explain...

Catalogue: Latin America 2017: #IN
Author: Juan Carlos Sanchez
June 15, 2017
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Citation

Sanchez, J. C. (2017a, June 15). Mexican TVolution (Spanish). ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/mexican-tvolution-spanish-


Videos

A conversation with Globo

Listening how GloboTV, one of the largest media companies in the world (producing around 2,400 hours of entertainment and 3,000 hours of journalism per year in Brazil) runs Conversa, a multi-platform online community to boost viewer’s...

Catalogue: Latin America 2017: #IN
Authors: Adriana Rocha, Ana Frias
June 15, 2017
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Citation

Rocha and Frias (2017a, June 15). A conversation with Globo. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/a-conversation-with-globo


Videos

Addressable TV Advertising

How can we move TV advertising forward with big data? Applying learnings from digital display to advance programmatic TV advertising.The purpose of this presentation is to systematize the role of the different data available for programmatic TV...

Catalogue: Big Data World 2017: Smart Data Integration
Authors: Edward Malthouse, Judy Franks
January 15, 2017
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Citation

Malthouse and Franks (2017a, January 15). Addressable TV Advertising. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/addressable-tv-advertising-8954


Videos

Predicting TV viewership with neural networks

Neural networks are methods widely used in tasks such as image recognition, computer vision, sequence prediction, text encoding and document classification. At Viacom's Data Science and Advanced Analytics (DSAA) we are building cutting-edge platforms...

Catalogue: Big Data World 2017: Smart Data Integration
Author: Alex Ruiz
January 15, 2017
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Citation

Ruiz, A. (2017a, January 15). Predicting TV viewership with neural networks. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/predicting-tv-viewership-with-neural-networks


Videos

Programmatic TV meets new technology-driven TV behaviour data

The future of the television begins and ends with measurement. This session will go through the challenges and opportunities with programmatic TV and the new data sources that fuel the programmatic opportunity.

Catalogue: Big Data World 2017: Smart Data Integration
Author: Daniel Tjondronegoro
January 15, 2017
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Citation

Tjondronegoro, D. (2017a, January 15). Programmatic TV meets new technology-driven TV behaviour data. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/programmatic-tv-meets-new-technology-driven-tv-behaviour-data


Videos

Measurement and definitions are inseparable

We cannot measure properly, if we don’t know what we want to measure. It sounds so simple and it looks boring to pay attention to the issue of definitions in media and market research. But we run into useless discussions if we do not understand...

Catalogue: Seminar 2016: Media Return on Investment
Author: Leendert van Meerem
June 15, 2016
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Citation

van Meerem, L. (2016a, June 15). Measurement and definitions are inseparable. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/measurement-and-definitions-are-inseparable


Videos

SKO videodata integration model

On 1 January 2016, the charity SKO (Stichting Kijk Onderzoek) started supplying daily ratings for programme content viewed online. Initially the ratings report on online programmes were distributed by NPO, RTL Netherlands and SBS Broadcasting (Dutch...

Catalogue: Seminar 2016: Media Return on Investment
Author: Mariana Irazoqui
June 15, 2016
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Citation

Irazoqui, M. (2016a, June 15). SKO videodata integration model. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/sko-videodata-integration-model


Videos

A machine-learning app for TV show acquisitions

As The Wall Street Journal reported last year, streaming services such as Netflix and a rise in original TV programming have impacted the once-lucrative syndication market. After taking major losses on network hits, cable executives now have to...

Catalogue: Big Data World 2016: Understanding People Through Smart Data
Authors: Caroline Epstein, Fabio Luzzi
June 15, 2016
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Citation

Epstein and Luzzi (2016a, June 15). A machine-learning app for TV show acquisitions. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/a-machine-learning-app-for-tv-show-acquisitions-8670


Videos

Entertainment landscape across generations in Latin America

Technology has changed how people access entertainment, education, and information at such a fast pace that change has become the new normal, making innovation necessary for relevance and survival. What constitutes media is quickly evolving;...

Catalogue: Latin America 2016: Research Renovation
Author: Susana Sosa Aiken
June 15, 2016
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Citation

Sosa Aiken, S. (2016a, June 15). Entertainment landscape across generations in Latin America. ANA - ESOMAR. Retrieved April 19, 2024, from


https://ana.esomar.org/documents/entertainment-landscape-across-generations-in-latin-america