Big Data challenges to foster AI research and applications

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1 GRUPPO TELECOM ITALIA Workshop on Embracing Potential of Big Data Pisa, 12 Dicembre 2014 Big Data challenges to foster AI research and applications Fabrizio Antonelli SKIL Lab

2 The Joint Open Labs of Telecom Italia Joint Open Labs are research and innovation laboratories set up within university centres, as a result of partnerships and agreements between Telecom Italia and the major Italian universities in specific fields of scientific and technological interest. JOLs in brief: 5 universities involved in the first phase (Polytechnic University of Turin, Polytechnic University of Milan, Trento University, Sant Anna School of Advanced Studies in Pisa and Catania University) Interdisciplinary teams focusing on university areas of excellence "Open research at international level in collaboration with organisations such as the European Institute of Technology (EIT) and Massachusetts Institute of Technology (MIT) 8 JOLs within 5 Italian universities of excellence 13 million euros invested (2012 to 350 young people (200 in the innovation area) 2015) 15% 25% PhDs funded within JOLs thesis / internships 2

3 Joint Open Labs throughout Italy Robotics Mobile Smart Spaces Semantics & Big Data Internet of Things TO MI TN Multimedia PI E-Health and Wellbeing Mobile Social Platforms Mobile devices Lab 3

4 Challenges around the World 21 st Century Grand Challenges 4

5 Challenges around the World Orange D4D Challenge 5

6 Challenges around the World Censimenti Data Challenge 6

7 Challenges around the World Piemonte Visual Contest 7

8 Motivations Big Data Big solutions? 8

9 Motivations Lack of finding specific competences The web as the enabler to put in touch demand and offer Increasing will of participation Need of engaging the ecosystem 9

10 The cultural change What prevents from a broader adoption of the challenges as a new paradigm of innovation Trust in external developers not engaged with traditional processes Open up their data, IP, asset (the attendees get enough information that they can create relevant solution for these corporate) Regulatory framework constraints Internal frictions Developing a strategy 10

11 11

12 The Telecom Italia Big Data Challenge 2014 Telecom Italia BIG DATA CHALLENGE is an initiative aimed at involving researchers, developers and designers from all the globe on the Big Data. The CHALLENGE gives the chance to connect with an international network of professionals for collecting ideas and approaches on heterogeneous Big Data exploitation (private data, open data, sensor data, etc.) through the development of APPLICATION, ANALYTICS and VISUALIZATION. 12

13 In collaboration with 13

14 How was it designed? Telecom Italia BIG DATA CHALLENGE was divided in two phases: A first phase (2 months long) where individuals or teams can apply for participation and download a DATASET of heterogeneous data (Telecommunication, transportation, weather, etc.) referred to a specific period to be used for the development of apps, analytics or visualizations. A second phase (Big Data Jam), during the ICT DAYS 2014 in Trento*, where in a 2 days of meetings, panels and workshops the participants are invited to present their work and where a committee (made of personalities from the scientific, institutional and industrial world) will reward the best ideas. * 2013.ictdays.it/it 14

15 How was it structured? Telecom Italia BIG DATA CHALLENGE was structured in TRACKS. Each participant can apply for a specific track according to her competence or interest. The available TRACKS are: 1. APP DEVELOPMENT: development of data-oriented application starting from the available data 2. DATA ANALYTICS: data mining for the extraction of correlations, patterns, trends, etc. 3. DATA VISUALIZATION: development of visualizations for the data storytelling. 15

16 What kind of data? The participants can download a geo-referred DATASET (period of Nov/Dec 2013) related to two different Italian territories made of several millions records: The TRENTINO region and the METROPOLITAN AREA OF MILAN 16

17 What kind of data? 17

18 What kind of data? 18

19 The Dandelion data distribution platform (powered by SpazioDati) 19

20 Prizes 6000 for the first selected idea in any of the 3 tracks Other benefits: Exhibition of the visualizations in the MUSE museum and in other EIT ICT Labs nodes Special Issue on EPJ Data Science Journal, edited by Frank Schweitzer (ETH Zurich) and Alessandro Vespignani (Northeastern University) 20

21 Numbers Participants:

22 Numbers 100+ submissions 10 finalists 3 winners 22

23 Winning team APP DEVELOPMENT Project: Living Land Use - Team: LocaliData Idea analyse the activity data to elicit land use footprints The Living Land Use application aims at: Deriving land use "footprints" of Milano by analysing the "activity data" provided by the Big Data Challenge 2013 Milano grid and in-calls footprint for week days/weekend in cell Comparing the "elicited" land use footprints with the land use classification provided by CORINE in 2009 Construction site 3. Identifying relevant deviations in land use between 2009 and 2013 Living Land Use CORINE land use classification (viz: QGIS, background map: OpenStreetMap) 23

24 Winning team DATA VISUALIZATION Project: Human impact from a bird s eye view - Team: Easystats Ltd 24

25 Winning team DATA ANALYTICS Project: People as Sensors for Predicting Energy Consumption - Team: University of Trento The goal is to optimize electric energy producer-distributor-consumer value chain in Trentino province (Italy). Predict average daily energy consumption for each line through the electrical grid of the Trentino province (Italy) based on human behavioral data, derived from mobile phone aggregated and anonymized activity, => thus optimizing the economy of energy producers and distributors value chain and reducing climate change impact. Predict peak daily energy consumption for each line through the electrical grid of the Trentino province (Italy) based on human behavioral data, derived from mobile phone aggregated and anonymized activity, => thus meeting consumer peak demand. 25

26 What s next The Telecom Italia Big Data Challenge have now been released in open source 26

27 What s next We ll see you at Telecom Italia Big Data Challenge 2015! 27

28 Grazie

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