Data Value – Application in Data Spaces
The objectives of this workshop are the following:
- To discuss about different current and potential ways to generate value from data spaces (with data sharing and collaboration among stakeholders as main drivers)
- To identify what technical enablers are needed to materialize this value generation
- To hear from industry real use cases of value generation from data and data sharing, and how data spaces are contributing to them.
- To focus on AI / industrial AI as a paradigmatic example that can benefit from its connection with data spaces.
Agenda and Speakers:
1.Introduction and setting-up the scene
- Introduction and framework: Nuria De Lama (IDC) / Daniel Alonso (BDVA)
- Keynote / motivation: Thomas Hahn (Siemens, BDVA president)
(Both next slots will consist of: (i) initial statement from each speaker, and (ii) panel to discuss on the objectives of the session, with questions from moderator and audience)
2.Part 1: View from research and innovation, how those initiatives are planning to generate value from data sharing and data spaces, and technical enablers they are developing for that.
Initial statements + discussion (moderated by Daniel Alonso) with:
- Arturo Medela (Eviden, Sedimark project coordinator)
- Emmanouil G. Spanakis (FORTH, Trustee project coordinator)
- Edward Curry (Insight, Generative AI and data spaces)
- PISTIS (TBC)
- Tanguy Coenen (IMEC, ACADI)
3.Part 2: Testimonies from industry on real data value generation scenarios in different sectors, including industrial AI, lessons learnt, main barriers to overcome in order to fully achieve the objectives, technical needs, future perspectives.
Initial statements + discussion (moderated by Nuria De Lama) with:
- Hanno Focken (Catena-X, automotive sector)
- Rob Smeets (Philips, healthcare domain)
- Aitor Corchero (NTT Data, public administration)
- Denia Kanellopoulou (Demokritos, DeployAI, industrial AI)
4.Closing and final remarks
SEDIMARK presentation here
Denia Kanellopoulou’s presentation here
