European Big Data Value Forum Agenda by Whova

Charlotte Andersdotter

Head of Brussels Office, RISE

Charlotte Andersdotter heads RISE, Research Institutes of Sweden and Teknikföretagen, the Association of Swedish Engineering Industries, Brussels office since 2014. Prior to this position, she was a National Expert at DG RTD, working with industrial research and later innovation policy. In 2006, Charlotte lead ERRIN, European Regions Research and Innovation Network, from being a European project to become an independent network and hence she was the networks first Director. Charlotte has 20 years of experience working with European research and innovation at regional, national and EU level starting off at the Umeå Universities´Industrial Liason Office. She holds a degree in Business Administration from Umeå University.

Charlotte is speaking at

Focus Track 3: Market uptake: Bringing AI and Data Science to Practice - Main session

Focus Track 3 - Market uptake: Bringing AI and Data Sciences to Practice

November 4, 2020

10:00 am - 11:30 am

Speakers

Daniel Alonso Roman (Chair) ITI - Artificial Intelligence & Big Data Partnerships Driver, BDVA i-Spaces group chair / EUHubs4Data coordinator
Guido Reimann (Chair) Expert Software and Digitalization and Coordinator Artificial Intelligence Competence Network of VDMA, VDMA e.V.
Michael Beigl (Speaker) Professor, KIT / SDIL
Elena Simperl (Speaker) Professor of computer science, King's College London
Maria Christina Bienek (Speaker) General Manager, Smart Electronic Factory e.V.
Sandro D’Elia (Speaker) Programme Officer - Unit A2: Technology and Systems for Digitalising Industry, European Commission - Directorate General for Communications Networks, Contents and Technology
Philippe CALVEZ (Speaker) Head of ENGIE LAB CSAI, Platoon
Charlotte Andersdotter (Speaker) Head of Brussels Office, RISE
Stelian BRAD (Speaker) Full Professor in Intelligent Robotics and Innovation, Technical University of Cluj-Napoca
Javier Valero (Speaker) Digital Innovation Hubs Advisor - "AIR4S" DIH Manager, Universidad Politécnica de Madrid, UPM

Description

The main objective of this track is to make accessible by European industry and society the last advances and tools in Europe on Big Data and AI, to foster the adoption of these tools and services, and to facilitate their market uptake. To accomplish this goal, needs, challenges and barriers from both the offer and the demand side have to be considered. Besides, the successful achievement of this objective implies that we consider simultaneously the European dimension (solutions available at European level) combined with a national and regional perspective (solutions adapted and accessible by local ecosystems). It includes:

To understand needs of industry and society both at European and national / regional level
To bring to them last advances in Europe on Big Data and AI
To make those solutions accessible at regional / local level
To support them in the adoption and use of the solutions
To find ways of collaboration and understanding of offer and demand sides