Big Data Value Association is pleased to announce the election of Jürgen Muller, Head of Strategic Research, SAP SE, as President of BDVA. Jan Sundelin, CEO, TIE Kinetix, and Jose Maria Cavanillas, Director of Research & innovation, ATOS were elected as his Vice-Presidents.
Stuart Campbell, CTO at TIE Kinetix, was appointed as Secretary-General of the BDVA. He will be responsible for the day-to-day administrative management of the Association, supported by his Deputy Secretaries, Nuria de Lama, Research and Innovation Representative to the EC, Atos, and Julie Marguerite, European Research Cooperation Manager, Thales. Tonny Velin, Managing Director, Answare, was appointed as Treasurer.
At the General Assembly gathered in Barcelona on 18th November 2014, it was agreed that the Board of Directors will have 36 members of which 24 will be Founding members and 12 new members. According to the bylaws first terms of the Board of Directors is two years.
The signature of the Big Data Value Public Private Partnership (BDV PPP) took place on 13 October 2014 at the Hotel Silken Berlaymont in Brussels, by the European Commission Vice-President Neelie Kroes and the then President of the Big Data Value Association Jan Sundelin, TIE Kinetix.
The BDV PPP signature was the first step towards building a thriving data community in the EU. Already in November 2013 in Vilnius Vice President Neelie Kroes called for the creation of a European Public Partner Partnership for Big Data. Vice President Kroes highlighted that Big Data is becoming the fuel for innovation, powering and energizing European economy.
On the 2nd of July 2014, the European Commission published a communication entitled “Towards a thriving data-driven economy”. This communication outlines that the Big Data Market, which is expected to grow worldwide to USD 16.9 billion in 2015 at an annual rate of 40%, is a great opportunity to create new jobs and growth. However, it also points out that Europe has been slow in embracing this revolution, compared to other competitors like the USA. The communication addresses this challenge by sketching the features of the European data-driven economy of the future and setting out some operational conclusions to support and speed up the transition towards it.
On the 2nd of July 2014, the European Commission published a press release which urges national governments to embrace the potential of Big Data.
The main problems identified by the Commission in the field of Big Data are the lack of cross-border coordination, insufficient infrastructure and funding opportunities, a shortage of data experts and related skills, as well as a fragmented and overly complex legal environment.
After a welcome speech by Jan Sundelin, co-chair of the NESSI Board, and an opening speech by Mario Campolargo, Director of Directorate E "Net Futures" in DG CONNECT, the participants had the opportunity to attend to three enriching panel discussions and exchange with the speakers.
The European Technology Platform for Software and Services NESSI, together with partners from the FP7 project Big, have drafted a Strategic Research and Innovation Agenda (SRIA) on Big Data Value. The objective of the SRIA is to describe the main research challenges and needs for advancing Big Data Value in Europe in the next 5 to 10 years. The SRIA will be an important channel for providing input to the European Big Data Value Partnership that aims to establish a Public Private Partnership on Big Data Value.
Big Data is one of the key research and strategy topics for the world of business. Now 24 Institutes of the Fraunhofer-Gesellschaft, Europe's largest organisation for applied research, have come together to pool their expertise in the new Big Data Alliance, creating a single point of contact for companies, politics and research.
Today, analysts seek to derive insight from large, heterogeneous, high-velocity (i.e., big) data sets using varying data analysis methods. These data sets are ubiquitous. They arise due to burgeoning cloud computing services, the anticipated Internet of Services (IoS), and the emerging Internet of Things (IoT). Big data is often defined as any data set that cannot be handled using today’s widely available mainstream solutions, techniques, and technologies.