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BIG DATA CONGRESS 2018
CONFERENCE PROGRAM

*All presentation will be in the original language of the speaker (Catalan, Spanish or English).
In the current edition, simultaneous translation service is not available.

DOWNLOAD THE CONFERENCE PROGRAMME

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Day 1
24 Oct 2018
Day 2
25 Oct 2018
08:30h

Registration 24 Oct

Institutional Welcome

The promoters of the Big Data Congress will welcome us and open the 4th edition. Jaume Ferrús Vice president Eurecat https://eurecat.org/ | @Eurecat_news David Ferrer Secretary of Telecommunications, Cybersecurity and Digital Society...
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Jaume Ferrús | EURECAT
David Ferrer | GENERALITAT DE CATALUNYA
Lluís Gómez | AJUNTAMENT DE BARCELONA

Big Data CoE presentation

Marc Torrent | Big Data CoE

Towards DDO – Measuring ROI

According to the latest market studies conducted in 2017, the adoption of Big Data techniques worldwide has reached 53%. Whilst we continue to find trends like data warehouse optimisation, customer...
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Gemma Batlle | EURECAT
MANUEL CARRICANO | ESADE Business School
Marc Subirà | FC Barcelona
Xavier Puig | Generalitat de Catalunya
Marius Boada | Barcelona City Council

Elevator Pitch

If you are a sponsor and want to publicise your data-based initiative, service or project, this session will provide you with the possibility of promoting and spreading it. It is...
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Carles Aristoy | CAPSIDE
Antonio Duro | CLEARPEAKS
Lourdes Hernández | Datahack
Juan Francisco García | DATKNOSYS
Oriol Jofra | DOMINION DIGITAL
Mark Frantz | ESADE Business School
Gemma Batlle | EURECAT
Xavier Vidal | GRUPO ICA
Francisco Javier Martínez | MINSAIT, an Indra Company
Elsa Durán | KSchool
Federico d’Alessio | Trovit
10:50h

Cofee Break

Lessons learnt from successful applications

According to a study conducted by Boston Consulting Group and MIT, 87% of companies that have failed to adopt data analytics have done so due to the lack of definition...
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Joan Mas | EURECAT
Gabriel Anzaldi | EURECAT
Marc Guirao and Oscar Martínez | CLEARPEAKS
Xavier Gonzalez | CaixaBank
Juan Francisco García | DATKNOSYS
Allan Chung | Retail Rocket
Jaume Ferrarons | Smart Monkey

Data sharing for common good

Using and exploiting data is not just a powerful tool for companies. The information resulting from the analysis of digital and open data provide a new way of understanding and...
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Francesca Bria | AJUNTAMENT DE BARCELONA
Nacho Alamillo | ASTREA LA INFOPISTA
Jordi Vitrià | UNIVERSITAT DE BARCELONA
14:00h

End of the first day

08:30h

Registration 25 Oct

Krishna P. Gummadi – Keynote Speaker

Krishna Gummadi is the Head of the Networked Systems research group at the Max Planck Institute for Software Systems (MPI-SWS) and a Professor at the University of Saarland. He received...
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Krishna Gummadi | Max Planck Institute

Effective technology stacks

When we talk about Big Data, the computer infrastructure and architecture to use is undoubtedly one of the most critical points, especially if the volume of data or latency is...
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Daniel González | EURECAT
Jaume Lluch & Javier Berdonces Fernández | Ajuntament de Barcelona & Accenture
Juan Luis Alarcón | DOMINION DIGITAL
David Bordas | MINSAIT, an Indra Company
Ferran Galí | TROVIT SEARCH
11:00h

Cofee Break

Big Data Talent Awards

4th edition The Center of Excellence in Big Data organizes the 4th edition of Big Data Awards sponsored by Oracle. The awards will recognize the doctoral theses and master or...
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Explainable AI

As the use of machine learning has become established in the business world, it has become clear that in most cases it is not enough to predict a certain value,...
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Marc Torrent | Big Data CoE
Ricardo Baeza-Yates | Northeastern University (Silicon Valley, EE.UU)

Cool Data Science Exposed

A good algorithm can help any business to save costs or significantly boost revenue. Therefore, the suitability of the algorithm designed to model a problem is essential and virtually unambiguously...
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José Mena | EURECAT
Daniel Ruiz & Pierdomenico Fiadino | ZEELO
Giovana Gavidia | EURECAT
Herman Vissia | ByeleX BV
Enrique Mora | Nestlé
14:00h

Closure

WORKSHOP OCTOBER 25 | ROOM 1 | FLOOR -1

FACE RECOGNITION WITH TENSORFLOW

11:45h to 12:45h

This presentation will show us an example of a practical application of Deep Learning to solve the problem of incrementally learning people’s identities using Google’s TensorFlow software library. This application had been implemented as part of a project to bestow an android with intelligence, thereby enabling it to participate in therapies for patients with Alzheimer’s.

More information HERE