Workshop on

Embracing Potential of Big Data

12 December 2014
Pisa, Italy

An event co-organized with the CINI "Big Data" Laboratory
Workshop of the XIII AI*IA Symposium on Artificial Intelligence

Big Data is a phenomenon characterized by the exponential expansion of large volumes of high velocity, complex and variable data. It challenges current techniques and technologies for capturing, storing, distributing, managing and analyzing data. At the same time, its scale and scope of value have enormous potential in various fields, ranging from health, education, transportation and environmental monitoring to energy, food security and cyber security. Independent agencies and Commissions, both in the US and in Europe, are urging governments to embrace this data revolution and to develop strategies for helping businesses and public sector bodies to reap the full benefits of Big Data. Data is at the centre of the future knowledge economy and society, and the data-driven innovation aims to make use of information from improved data analytics to develop improved services and goods that facilitate the everyday life of individuals and of organizations.

This workshop will create a forum where researchers from different communities and the industries can share their insight into this hot new field. The objective is to exchange experience and research ideas on fundamental issues encountered in embracing the potential value of Big Data.

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Workshop Program

BIGDATA Workshop - 12 December 2014 Aula Seminari Ovest, Building C

10:30-11:00 Invited talk (jointly with the Special Track on AI for Society and Economy)
Fabrizio Antonelli Fabrizio Antonelli earned his master’s degree in Computer Science at the University of Torino after a scholarship at the Arizona State University. His working experience started at Tilab - Torino, the research center of Telecom Italia, focused on text based recommender systems, text classification systems and knowledge discovery. He currently leads the Semantics and Knowledge Innovation Lab (SKIL) of Telecom Italia, located in Trento at the EIT ICT Labs Co-located center, whose goal is to investigate and design novel data-driven service. The main projects carried on are on heterogeneous Big Data correlation pattern extraction (mostly from telecommunication data) and human dynamics analysis from personal data. The latter includes the development of technologies for personal data preservation, that the World Economic Forum cited as reference case in 2013 (see Mobile Territorial Lab In 2014 the SKIL lab organized the Telecom Italia Big Data Challenge (, participated by over 1100 professionals from all over the world. Fabrizio has recently been awarded among the 10 Italian Young Innovators Under 35 of the MIT Technology Review program.

Home page: Fabrizio Antonelli@SKIL, Telecom Italia.

11:00-11:10 Workshop Opening
D. Malerba (Università di Bari & Laboratorio CINI su Big Data)
11:10-11:35 PICO@CINECA: a new platform for Data Analytics Applications
S. Bassini, G. Fiameni, G. Pedrazzi, E. Rossi, R. Turra (CINECA)
11:35-12:00 Big Data Value Association and the European Agenda on Big Data
D. Malerba (Università di Bari & Laboratorio CINI su Big Data)
12:00-13:00 Panel Big Data: verso una società guidata dai dati
Moderatore: E. Damiani (Università Statale di Milano & Laboratorio CINI su Big Data)
   S. Bergamaschi (Università di Modena e Reggio Emilia & Laboratorio CINI su Big Data)
   S. Scamuzzo (Engineering S.p.A.)
   M. Banzi (Telecom Italia S.p.A.)
   Z. Radumilo (SAP EMEA)
   G. Calavaro (IBM Italia S.p.A.)

13:00-14:00 Lunch break

14:00-14:25 Big Data e Data Science: quale formazione in Italia?
P. Garza (Politecnico di Torino & Laboratorio CINI su Big Data)
14:25-14:50 Virtual Power Operating Center (Vi-POC): Big Data Techniques for Renewable Energy Market
M. Ceci, R. Corizzo, F. Fumarola, D. Malerba (Università degli Studi di Bari Aldo Moro), N. Cassavia, M. Ianni, E. Masciari (ICAR - CNR), P. Dicosta (Università della Calabria), G. Frascà (SunElectrics S.r.l.), G. Maria, M. Mariani, C. Pastura (GFM Integration S.r.l.), A. Muolo (ISKRA S.r.l.)
14:50-15:15 Map Reduce Algorithmics
A. Pietracaprina (Università di Padova)
15:15-15:35 Engineering e la Big Data Initiative di OW2: un esempio di approccio aperto alla data-driven economy
S. Scamuzzo, G. Ruffatti (Engineering S.p.A.)
15:35-15:55 Big Data & Business transformation
A. Passoni (SAP EMEA)
15:55-16:10 Wrap-up

16:10-16:30 Coffee break

16:30-17:00 Towards a Digital Time Machine fueled by Big Data and Social Mining (jointly with the Special Track on AI for Society and Economy)
D. Pedreschi (KDD LAB - Università di Pisa & ISTI - CNR) (video)

Important Dates

Early Registration: 31 October 2014
Late Registration: 28 November 2014
Workshop Date: 12 December 2014

Workshop Organizers

Ernesto Damiani (Università di Milano, Italy)
Donato Malerba (Università di Bari, Italy)

Co-organized with

National Interuniversity Consortium for Informatics