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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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Presentation Transcript
slide1

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

slide2

What the Senseable City Lab does

Data analyses and visualizations

Smart objects

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Geneva, Switzerland, 20-21 March 2012

slide3

What the Currentcity spin-off does

Data analytics applications

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Geneva, Switzerland, 20-21 March 2012

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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.

slide5

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

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Geneva, Switzerland, 20-21 March 2012

slide6

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

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Geneva, Switzerland, 20-21 March 2012

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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

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Geneva, Switzerland, 20-21 March 2012

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Big issues in big data analytics

Data ownership

Data security

Data privacy

Data formats & legacy data system

Patchwork of laws and regulations

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Geneva, Switzerland, 20-21 March 2012

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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)

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Geneva, Switzerland, 20-21 March 2012

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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)

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Geneva, Switzerland, 20-21 March 2012

slide11

Conclusions and Recommendations

???

???

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Geneva, Switzerland, 20-21 March 2012