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Welcome |
09:00 – 09:15 |
Opening of the ICCP Technology Foresight Forum 2012 by: Mr Jørgen Abild Andersen, Chair of the OECD Committee for Information, Computer and Communications Policy and Director General Telecom of the Danish Business Authority (bio) Welcome speech by: Mr. Andrew Wyckoff, Director, OECD Directorate for Science, Technology and Industry (bio) |
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Session 1: The power of big data analytics |
09:15 – 10:45 |
“Big data” is characterised by at least one of the following three attributes, commonly referred to as the three Vs: i) Volume: data volume which challenges the capacities of traditional IT systems, ii) Velocity: speed at which data is collected, accessed and analysed – ideally in real-time, iii) Variety: different types of data (including structured and unstructured data) that are combined. What seems to be key for big data, irrespective of its volume, velocity, and variety, is a fourth V: iv) Value, referring to the increasing social and economic value that comes with use of data. Big data analytics are the set of techniques and technologies needed for harnessing that value. These techniques and technologies have in common that they help extract information (meaning) out of data while coping with the significant volume, velocity, and variety that data sets may have. Panellists introduced big data analytics, and current or potential practices. They discussed questions such as:
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10:45 – 11:00 Coffee break |
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Session 2: Opportunities and challenges for society |
11:00 – 12:30 |
The use of big data analytics promises a wide number of social and economic benefits across society. However, it also raises concerns as it may put at risk fundamental values and thus warrant review of current policy frameworks, most prominently those aimed at ensuring the protection of privacy. But the potential implications for policy also spill over into many other domains; including among others skills and employment and the protection of intellectual property rights. Panellists discussed opportunities and challenges for society that are emerging through big data analytics taking into account the i) economic; ii) social; and iii) international dimension. Questions discussed included, but were not limited to:
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12:30 – 14:00 Lunch break |
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Session 3: Big data analytics in science and research |
14.00 – 15.00 |
Data analysis has always been fundamental to science and research, from the use of paper in the 9th Century that ushered in the Golden Age of Islamic Science, to the invention of the printing press in the 15th century, to the rise of computers over the last 60 years. The introduction of new instruments and methods based on big data analytics may represent another fundamental transformation in science and research, prompting some to suggest the arrival of a “4th Paradigm: data intensive scientific discovery”. This could have major implications for how discovery occurs in all scientific fields. For example, some have challenged the usefulness of models in an age of massive datasets, arguing that with large enough data sets, machines could now detect complex patterns and relationships that were invisible to researchers. The data deluge, it is argued, makes the scientific method obsolete, because correlations are enough. This session discussed the role and impact of big data analytics in science and research, focussing in particular on areas such as environment, life science, and health care. Questions discussed included, but were not limited to:
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Session 4: Big data analytics in marketing |
15.00 – 16.00 |
Marketing is probably one of the oldest application areas of data analytics. With customer relationship management (CRM), for example, companies already introduced a wide number of analytic techniques and technologies to improve their interactions with customers in order to increase sale figures. Big data analytics, however, elevate CRM to another level as it allows for more accurate profiling through a series of new big data sources (e.g. fidelity card, click-stream, and location data). These new data sources provide new insights about customers and consumers that they may even not be aware of. The benefits of using big data analytics are not limited to targeted advertisement, but also include the creation of new or improved products (customer-driven product design). As customer data become more and more valuable, however, sales points develop into a strategic point of control, and intermediaries owning these points of control can gain a strategic dominant position. This session looked at the increasing benefits and challenges of using new customer data. Questions discussed included, but were not limited to:
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16.00 – 16.15 Coffee break |
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Session 5: Big data analytics for public service delivery |
16:15 – 17:15 |
The public sector is an important source and user of data that can bring large benefits across the economy. For the public sector, the potential benefits associated with an improved access and re-use of public sector data (i.e. public sector information, PSI) include: i) improving transparency in the public sector; ii) improving the delivery of public services, e.g. making them more efficient, innovative or more personalised; and iii) facilitating more timely public policy and decision making. Evidence, however, suggests that the public sector is not fully exploiting the benefits of big data. In some areas, such as those related to the provision of statistics for policy making, this may raise issues about the possible new role of national statistical agencies (NSA) in a time where new providers of statistics proliferate, many of which are private businesses providing close to real-time data. This session looked at issues related to big data in the public sector and the role of the public sector in a data-driven economy. Questions discussed included, but were not limited to:
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Conclusion |
17.15 – 18.00 |
Conclusion of the ICCP Technology Foresight Forum 2012 Chair: Mr Jørgen Abild Andersen, Chair of the OECD ICCP and Director General Telecom of the Danish Business Authority (bio)
Brief summary by:
Concluding statements by:
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18.00 Cocktail in the Roger Ockrent room, Château de la Muette (sponsored by the Internet Technical Advisory Committee) |
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