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Geneva, Switzerland, 20-21 March 2012

ITU Workshop on ICT Innovations (Geneva, Switzerland, 20-21 March 2012). Innovation in big data analytics: from lab to market to standards. Filippo Dal Fiore, PhD M.I.T. Senseable City Lab & Currentcity dalfiore @mit.edu. Geneva, Switzerland, 20-21 March 2012.

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Geneva, Switzerland, 20-21 March 2012

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  1. ITU Workshop on ICT Innovations(Geneva, Switzerland, 20-21 March 2012) Innovation in big data analytics: from lab to market to standards Filippo Dal Fiore, PhD M.I.T. Senseable City Lab & Currentcitydalfiore@mit.edu Geneva, Switzerland, 20-21 March 2012

  2. What the Senseable City Lab does Data analyses and visualizations Smart objects 2 Geneva, Switzerland, 20-21 March 2012

  3. What the Currentcity spin-off does Data analytics applications 3 Geneva, Switzerland, 20-21 March 2012

  4. Our specialty within big data analytics: collective sensing Aggregated and anonymized data from telecom and web 2.0 networks is used as a proxy for human presence and activities, on an historical basis and in real-time.

  5. How we pursue innovation in the Lab Industrial collaborations in which we “tweak” with proprietary data/sensors Reliance on open-source SW solutions Scalability and standardization issues not of immediate relevance Creative, “keep options open” approach 5 Geneva, Switzerland, 20-21 March 2012

  6. How we pursue innovation in the spin-off Emphasis on user acceptance, revenue generation, future scalability Explorative, “keep options open” approach Difficulty to spot markets make the standardization question premature Benefiting from previous standards (i.e. GSM/UMTS), but only up to a certain point 6 Geneva, Switzerland, 20-21 March 2012

  7. Big data analytics: a Babel of data and operations on them Multi-level value chain:data generation  data storage  data query & extraction  data analysis  data fruition The possibility for multiple combinations are “infinite”: standardization to be applied at multiple levels 7 Geneva, Switzerland, 20-21 March 2012

  8. Big issues in big data analytics Data ownership Data security Data privacy Data formats & legacy data system Patchwork of laws and regulations 8 Geneva, Switzerland, 20-21 March 2012

  9. The need for standardizationin big data • Data reside within different companies and is silo-related (i.e. finance/health-care/energy) • Need for (individual/urban) data portfolios • “Data banks” as gateways for new data markets (data transactions as monetary transactions) 9 Geneva, Switzerland, 20-21 March 2012

  10. In absence of standards, big data is managed in big pooled datasets, but this lead to: Increased vulnerabilily (i.e. hacker attacks) Proliferation of consent and data use agreements; Inflexible, stale and inaccurate datasets;(source: Helmore, 2012) 10 Geneva, Switzerland, 20-21 March 2012

  11. Conclusions and Recommendations ??? ??? 11 Geneva, Switzerland, 20-21 March 2012

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