BDVA@ICT2015 Daily Digest 21.10.2015
1. Cyber Physical Big Data Systems Session
The networking session on Cyber Physical Big Data Systems: Coming Together of Game-Changing Trends attracted over 100 participants. The session was jointly organized with the NESSI ETP and ARTEMIS-IA. It featured position presentations from each of the involved organizations and a lively panel discussion, during which panellists responded to stimulating questions from the audience. Presentations were given by ARTEMIS-IA Vice President Laila Gide from THALES, BDVA Vice President Ed Curry from INSIGHT, and NESSI Steering Committee Chair Colin Upstill (IT Innovation, University of Southampton). Panel members were Sonja Zillner from SIEMENS, Jan Lohstroh from ARTEMIS-IA, and Bjorn Skjellaug from SINTEF. Discussions clearly showed the opportunities and challenges at the intersection between cyber physical systems and data-intensive systems, such as preserving privacy, handling system complexity, and addressing velocity / real-time data processing. Participants that attended the session were from all three main communities, with an equal split between CPS, Big Data and Software/Services. The networking session was organized and moderated by Deputy Secretary General of BDVA and NESSI Steering Committee Vice-Chair Andreas Metzger from paluno.eu, University of Duisburg-Essen.
2. Cross-Disciplinary Insights on Big Data Challenges and Solutions
The BYTE project and BDVA organized a joined session on Cross Disciplinary insights. The results of the BYTE project were presented in a very condensed matter, focusing on the ‘externalities’, or impacts, of data-driven innovations. The results from the analyses in a number of different sectors were compared and elaborated in small break-out sessions. Many different aspects were put on the table, but one of the most often-heard one concerned education of the end users, the people that are supposed to benefit from all these big data innovations. Education is necessary in order to know how to use the services, to know when you can share data and when not, and also for building trust. Trust that the output of an algorithm can be used in a beneficial way to improve your everyday life, but also trust in organizatoins that you share your data with: will they use it in a way that you are comfortable with? It was identified that the BYTE project results would be an excellent basis for the BDVA Taskforce on Societal issues, and further collaboration will be explored.