The European Big Data Value Forum (EBDVF) is the main event of the European Big Data and Data-Driven AI Research and Innovation community.
In 2017 the Big Data Value Association (BDVA) and the European Commission (DG CNECT) joined forces to create this event fusion of the former EDF (European Data Forum) and the BDVA Summit.
In its first edition in 2017 the EBDVF was held in Versailles, France, and it was co-organised by the BDVA, the European Commission and INRIA, a local organizing BDVA member company. 900 participants and 40+ sponsors join the events focused on “Trusted AI on Smart Industry”.
Last year edition, EBDVF was an official event of the Austrian Presidency of the Council of the EU and it was organised by the Federal Ministry of Transport, Innovation and Technology in cooperation with BDVA and the European Commission. The event, with the theme of “Data-Driven AI for the future” attracted more than 600 industry professionals, business developers, researchers, and policymakers from 40 different countries, to discuss the challenges and opportunities.
This year EBDVF2019 is by BDVA, in collaboration of the European Commission and VTT as the main local organizer. The European Big Data Value Forum 2019 aims to continue the success of previous editions, where on average every year around 700 industry professionals, business developers, researchers, and policymakers coming from 40 different countries attended the event. It will be organised in October and we expect 600 participants. The organiser committee of this event includes, in addition to BDVA, the EC and VTT, multiple Finnish industrial, Innovation and Research players as well as international companies and other research institutions.
BDVA is an Industry-driven and fully self-financed an international non–for-profit organisation under Belgian law. BDVA has almost 200 members all over Europe with a well-balanced composition of large and small and medium-sized industries (over 30% of SMEs), as well as research and user organizations. The full list of members can be found here.