Events 2020

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Data Driven Innovation: A predictive analysis, well explained

What A predictive analysis is? How does it work? Using data, statistical algorithms and machine learning techniques to identify the probability of future results based on historical data with the aim of going beyond understanding what happened to arrive at a better assessment of what will happen in the future.
Webinar: https://zoom.us/webinar/register/WN_dzjC2TqIQSe3pwfukm2ZdA

Timetables

Thursday 10 December

From 4.30 pm to 5.30 pm CET


Event on digital.makerfaire.eu
Data Driven Innovation: A predictive analysis, well explained

Bernardo Monechi

Bernardo Monechi è ricercatore presso i Sony Computer Science Laboratories di Parigi, dove si occupa dello studio di dinamiche urbane con metodi di inferenza statistica, machine learning e data-driven. Si occupa inoltre dello studio di dinamiche sociali relative alla sostenibilità e alla creatività collettiva, realizzando esperimenti open-ended in musei e altre venue.

Cristiana Pulcinelli

Alex Vespignani

Alex Vespignani is the Director of the Network Science Institute and Sternberg Family Distinguished University Professor at Northeastern University. He is a professor with interdisciplinary appointments in the College of Computer and Information Science, College of Science, and the Bouvé College of Health Sciences. Dr Vespignani's work focuses on statistical and numerical simulation methods to model spreading phenomena, including the realistic and data-driven computational modeling of biological, social, and technological systems. For several years his work has focused on spreading of infectious diseases, working closely with the CDC and the WHO.

Luciano Pietronero

Luciano Pietronero studied physics in Rome and was a research scientist at Xerox Research in Webster (1974) and Brown Boveri Research Center in Baden (CH) 1975-1983. He then moved to Univ. of Groningen (NL), as full professor of Condensed Matter Theory (1983-87). Since 1987 he is professor of Physics at the University of Rome "Sapienza”. Founder and director of the Institute for Complex Systems of CNR (2004-2014). Recently (2019) he was appointed president of the Enrico Fermi Research Center. Broad international experience in academic and industrial enviroments. The scientific activity is of both fundamental and applied nature, with a problem oriented interdisciplinary perspective. Development of novel and original views in most of the areas of activity. Leader of a generation of young scientists who are protagonists of the complexity scene internationally. In 2008 he received the Fermi Prize (highest award of the Italian Physical Society). Research interests Condensed Matter Theory; High-temperature superconductivity; Statistical Physics; Fractal Growth; Self-Organized-Criticality; Complex Systems and its interdisciplinary applications. Recent activity in Economic Fitness and Complexity for which he was appointed Senior Advisor of IFC-World Bank (2016). The Fitness method represents a scientific approach to fundamental economics and and as reported by Bloomberg Views: “New research has demonstrated that the "fitness" technique systematically outperforms standard methods, despite requiring much less data”. WEB page: www.lucianopietronero.it

Dario Pagani

Dario Pagani nasce a Milano nel 1959, è laureato in Economia all’Università degli Studi di Milano, è sposato con due figli e un nipote. Inizia la carriera in Agip nel 1982, occupandosi di sistemi di automazione e controllo della produzione. Nel 1998 entra in EniData come Program Manager per l’implementazione di SAP nelle filiali estere. Nel 2000 è stato nominato Business Unit Manager Upstream, Engineering & Construction e nel 2005 Responsabile della Pianificazione Strategica ICT del Gruppo Eni. Nel 2008 è stato nominato Senior Vice President di Eni ICT Strategy & Governance. Dal 2015 è Executive Vice President Information & Communication Technology & Group CIO di Eni e da luglio 2020 è Head of Digital and Information Technology all’interno della direzione TECH del gruppo.


Category Talk · Type Talk
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