1 / 11

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.

rona
Download Presentation

Geneva, Switzerland, 20-21 March 2012

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related