The Big Data Value Association celebrated its 12th General Assembly on November 23rd in Versailles during the European Big Data Value Forum 2017. Among other important topics, the BDVA members were called to elect some of the members of its Board of Directors, and to re-elect one of the Vice Presidents.
On Thursday, 30th November, Dr. Georgina Nugent Folan will present the paper "Data, Metadata, Narrative. Barriers to the Reuse of Cultural Sources" at the Metadata and Semantics Research Conference, Tallinn, Estonia (http://www.mtsr-conf.org/). MTSR is an annual international inter-disciplinary conference which brings together academics, researchers and practitioners in the specialized fields of metadata, ontologies and semantics research.
The BDVA General Assembly held in Versailles during the European Big Data Value Forum on November 23rd officially admitted 12 new members:
- 5 Full members (1 Large Enterprise, 2 SME, 2 Research/Academia)
- 7 Associate members (1 Large Enterprise, 4 SME, 1 Research/Academia, 1 Association)
- In total 2 Large Enterprises, 6 SMEs, 3 Research/Academia, 1 Association
- Members from 8 different countries: France (2), Germany (1), Italy (2), Spain (2), Switzerland (1), UK (1), NL (2), Greece (1)
BDVA officially welcomes to the Association the following members:
For the second consecutive year, the Big Data Value Association (BDVA) has granted a label for European Innovation Spaces (i-Spaces) to help drive forward Big Data adoption across all domains within European Industry.
The European Big Data Value Forum 2017, with the scope "Trusted AI in Smart Industry", ended in Versailles with the participation of over 800 participants on average per day (1200 registrations for 3 days).
Challenges and future directions in data-driven & artificial intelligence research and innovation have been discussed and analysed among key players and stakeholders of the Big Data Value Ecosystem. Key technological and societal aspects of trust and transparency for human-centred data-driven innovation were addressed.
The European Network of National Big Data Centers of Excellence has launched their webpage: www.big-data-network.eu. The objective of this network is to collect best practices and key achievements of each center, define big challenges, meet on regular basis, and align with other European initiatives, with the ultimate goal of defining the data-driven future of Europe.
This year, VRT, Var and BOZAR are organising a special edition of Media Fast Forward, the yearly networking and inspiration event on media innovation. On the 5th of December in Brussels, Media Fast Forward engages entrepreneurs, media professionals, researchers, advertisers and everyone with interest in media innovation to re-think the opportunities and impact of media and technology in our (future) world.
You can find further information about the event and the registrations here.
BBC Research and Development, along with colleagues from around the BBC, launched a five-year research partnership with eight UK Universities to unlock the potential of data in the media. The Data Science Research Partnership has the objective to be at the forefront of machine learning in the media industry, helping create a more personal BBC that can inform, educate and entertain in new ways.
Universidad Politécnica de Madrid (UPM) and Accenture have signed a collaboration agreement for the creation of AI.nnovation Space, a new artificial intelligence technology center. It will be the first European mixed technology center located in a Spanish university, where all the stages of an innovative product, from the collection of ideas until the release to the market, will be covered. The center will be placed at the High Technical School of Computer Engineers of the UPM, in the Campus of International Excellence of Montegancedo (Boadilla del Monte, Madrid).
open source Integrator Platform at the Webinar scheduled on Thursday 16 November, 15:00
Integrator Platform can do, how it does it, and how you can use it in order to derive more
value from your data sets. Moreover the project’s latest achievements with regard to
Semantifying the Big Data Stack will be showcased.