Scaling Industrial Cooperation for AI (Workshop 1.1)

SESSION DESCRIPTION & OBJECTIVES

Delivering AI-driven industrial applications requires an integrated research view across the generation, processing, analysis and consumption of data. The implementation of the underlying data value chain significantly relies on synergies in enabling digital technologies, ranging from IoT to High Performance Computing (HPC), AI and Big Data to Robotics and Knowledge Graphs.

This session will explore the major issues of commonalities and the potential for technical advancement. Discussion will illuminate research priorities to amplify synergies across the areas of AI, Big Data, IoT, Cyber Security, HPC and Robotics.

Several Speaker representing related associations, such as ETP4HPC, AIOTI, Big Data Value, ECSO, EFFRA or euRobotics, as well as industry and research institutes / academia will share technical visions, thought-provoking thoughts and insights on emerging trends.

The session is expected to be highly interactive with short presentations and be complemented with panel discussion and moderated Q&A dialogue.

How to establish a foundation for the development / progressing of the European Data Value Ecosystem?

• What are emerging technical trends related to industrial AI application in the various associated technological areas AI, Big Data, IoT, HPC and Robotics? (questions e.g.: which parts of your technical roadmap are related to industrial AI applications? In which areas you see clear overlaps or complementary areas with the other technical areas)
• Best practices from past collaboration (questions e.g. What are good examples for successful collaboration that have been established in past? What was the focus? Why was it successful? What can we learn for the future?)
• What are future collaborative research areas? What are the main challenges in addressing those research areas? Any recommendation to set them up?
  Need for further support to the foundation for the development of the European Data Value Ecosystem and their outcomes (questions e.g. what are the specific requirements of collaborative research undertaking? What can policy do to support joint research undertaking?

EXPECTED OUTCOMES

• Identification of collaborative research areas.
• Scoping joint application scenarios to be further elaborated together.
• Establishing a foundation for the development/progressing of the European Data Value Ecosystem.

PARTICIPANTS

CHAIRS

• Hubert Tardieu (ATOS/ETP4HPC)
• Sonja Zillner (Siemens/BDVA)

SPEAKERS

• Dr Arian Zwegers (Programme Officer, Technologies and Systems for Digitising Industry / EC DG CNECT)
• Michael Malms (Project Manager ETP4HPC)
• Damir Filipovic (Secretary General of the Alliance of the Internet of Things, AIOTI)
• Rainhard Lafrenz (Secretary General of the euRobotics AISBL) – TBC
• Philippe Mouttou (Thales Group and Project Co-Coordinator AI4EU Project)
• Thomas Hahn (Vice-President of the Big Data Value Association (BDVA), Chief Expert Software at Siemens AG)
• Fabio Martinelli (Lead ECSO Working Group 6 Cyber Security) – TBC
• Stefan Decker (Fraunhofer Aachen, representing Dagstuhl Seminar on Knowledge Graphs) – TBC
• Chris Decubber (Technical Director of EFFRA)

RAPPORTEURS

• Ed Curry (Vice-President BDVA, Insight)
• Michela Milano (University of Bologna)

AGENDA

• Start of the panel “Setting the Scene”
• Opening question incl. introduction of the panellists
• Panel Discussion
  • How best practices of past successful collaborations?
    • What are good examples for past successful research collaborations in the mentioned technological areas? Why?
    • Why are international collaborations in the area AI, Big Data, IoT, HPC and Robotics so important?
  • Which type of collaboration do we need more in future?
    • What: Future joint application scenarios that to be further elaborated together?
    • What are future collaborative research areas?
    • What are the main challenges in addressing those research areas?
    • What are your recommendations to set them up?
  • Closing: Recommendation towards government and other stakeholders
    • How to establish a foundation for the development/progressing of the European Data Value Ecosystem?
    • Which further support is needed to facilitate international collaboration and to improve their outcome?
    • How can government and other stakeholder provide support?
    • Including questions from the audience and closing remarks from European Commission (Arian Zwegers)