HPC, Big Data, IoT and AI future industry-driven collaborative strategic topics

06/05/20

  On May 5th 2020, BDVA organised, in collaboration with ETP4HPC and the European Commission, an online workshop to analyse in depth the challenges, limitations and longer term perspectives of the Large Scale Pilot actions that are currently being...

Share this news
Stay up to date!

Follow us on Twitter

Follow us on Linkedin

Subscribe to our monthly Newsletter!

 

On May 5th 2020, BDVA organised, in collaboration with ETP4HPC and the European Commission, an online workshop to analyse in depth the challenges, limitations and longer term perspectives of the Large Scale Pilot actions that are currently being developed in the context of the ICT-11-2018-2019 calls. Based on this analysis, the aim is to outline future research and innovation needs in terms of convergence and alignment of the basic technologies and their utilization in industry and specially SMEs.

Over 80 participants representing HPC, Data, AI and IoT areas of expertise joined this online session with a good balance of Research, Industry, policy makers and other relevant players.

The integration of Big Data, AI, IoT, Cloud/Edge/Fog Computing and HPC technologies allows exploiting large volumes of data coming from diverse and heterogeneous data sources by deploying data processing and data analytics tasks along the Computing Continuum. This Continuum physically stretches from HPC- and cloud- data centres to intelligent sensors and actors at the edge. Complex, high dynamic workflows pass data through the Continuum, cyber-security measures form the ‘glue’ between the continuum elements. A very large set of use cases in science, the public sector and industry need a reliably and effectively working continuum for their implementation. A collaboration between the disciplines contributing to the Continuum is mandatory!

Several Large Scale Pilot actions are currently being developed in the context of the ICT-11-2018-2019 calls, which demonstrate the potential of these technologies in the implementation of industrial pilot test-beds. These pilots ad test-beds deal with data coming from different industrial and business domains, such as manufacturing, health and healthcare, Agrifood, Finance, and other business or public sector domains. Although the particular sectors covered by the pilots provide a diversity of challenges, there are many common difficulties that have to be overcome. 

Outcomes of this workshop will be relevant for the future research and innovation activities in both the EuroHPC JU, and the AI, Data and Robotics Partnership, and are meant to support alignment in between both partnerships.

  • Organisers: Ana García Robles (BDVA), María Pérez (UPM, BDVA), Michael Malms (ETP4HPC, IBM)
  • Moderators: María Pérez (UPM, BDVA), Michael Malms (ETP4HPC, IBM)

Presentations:

  • DeepHealth: Mónica Caballero (Everis) and Jon Ander Gómez (UPV). Presentation here.
  • CYBELE:  Steven Davy (TSSG) and Sophia Karagiorgou (Ubitech). Presentation here.
  • LEXIS:  Jan Martinovič (IT4Innovations), Marc Levrier (ATOS), Stephan Hachinger (Leibniz Supercomputing Centre). Presentation here.
  • IoTwins: Paolo Bellavista (UNIBO), Franceco Millo (Bonfiglioli). Presentation here.
  • INFINITECH: Ernesto Troiano (GFT). Presentation here.

You can find the video of this workshop here

Reports will be made available on this page once available.