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Introduction by Patrick Duvaut, director of research at Telecom Paris-Tech
Presentation by Renaud Di Francesco
Speech by Pierre-Jean Benghozi
Participation of Yves Poilane, director of Telecom Paris-Tech
The scope of big data, is broader than business intelligence, and extending towards:
-real world to digital, analytics AND decision, feedback to real world
A change in needed technology portfolio is happening, beyond NoSQL and search technologies, with other technologiues determining success:
-maximum likelihood decision methods
-real time system engineering
The digital economy relies on three pillars, two of which have identified pricing schemes and economic mechanisms:
however, the third one, data, does not always have recognised value, and economic mechanisms.
For instance, what is the price of an electrocardiogramme as usable data? What is the price of my geographic position?
Nevertheless in some sectors and categories, data can have pricing schemes and economic mechanisms:
-content (e.g. movie) industry
Starting from these chartered territories of big data, one can start considering adapted economic schemes for new data categories, which are not yet priced and covered by economic schemes.
The software licensing scheme offers a starting framework for data contracts, which cover rights on data.
The enforcement of rights is helped by Digital Right Management systems granting authorised access to the data.
The target for a data economy to work efficiently is the development of data market places, where data collectors, data owners, data users, and data processors, meet as data offer has to meet data demand.
The raw material or commodity market places established for physical goods give a reference framework from which data market places can be derived.
Moreover, in some categories, digital data market places are already in operation. For instance Getty Images buys and sells pictures, which are a special case of data.