Big Data Value Forum webinar

Our college and Project Coordinator, Juan Carlos Pérez, Researcher & Project Manager at Blockchain, Identity & Privacy Unit at Atos Research and Innovation area, will present KRAKEN project next Wednesday 4th November during the European Big Data Value Forum 2020 in the Parallel Session on Privacy-preserving technologies – a key enabler of big data for AI.

Check out the agenda, register on the event, and don't miss our slot!


  • Zoltan Mann (Speaker) senior researcher, University of Duisburg-Essen
  • Sebastian Pape (Speaker) Senior Researcher, Goethe University Frankfurt
  • Alberto Crespo (Speaker) Head of Blockchain, Identity and Privacy Unit, Atos Spain S.A.
  • Juan Carlos Perez Baun (Speaker) Resercher and Project Manager, Atos
  • Sébastien Ziegler (Speaker)
  • Mark Purcell (Speaker) Principal Investigator, IBM Research
  • Pierangela Samarati (Speaker) Full professor, Universita` degli Studi di Milano


Modern AI applications crucially depend on large volumes of real-world data, including data about natural persons. However, the use of personal data is associated with data protection challenges. Privacy-preserving technologies are being developed to cope with these challenges. This is a hot topic because AI applications are spreading rapidly, opening new possibilities for technology, business, and society.

There is a growing concern about the use of personal data in AI applications. Misalignment with current and upcoming EU legislation (e.g., GDPR, ePrivacy) threatens to hamper the adoption of AI.

Privacy-preserving AI and big data applications are in the focus of several ongoing or recently finished EU projects. Dissemination of the projects’ results and cross-fertilization among the projects would be highly beneficial.

The aim of this session is to discuss cutting-edge advances in privacy-preserving technologies and how they foster the use of big data for AI. The session will allow current and recently finished EU projects (BDV PPP and beyond) to present and discuss their use of privacy-preserving technologies to protect data for AI.