december, 2019
Time
(Thursday) 10:00 - 12:30
Event Details
Digitalization is a source and driver of transformational change across all industries. New data analytics including artificial intelligence, machine learning, and deep learning are expected to impact all business processes
Event Details
Digitalization is a source and driver of transformational change across all industries. New data analytics including artificial intelligence, machine learning, and deep learning are expected to impact all business processes as they will efficiently extract the value from data. While the digitalization of operations and commercial functions might have the largest potential for immediate value creation, the acceleration of digitalization into new business models, products development and collaborative innovation might eventually prove to be more disruptive over the next decades.
Data mining and analysis, combined with artificial intelligence, promise better, faster decisions and greater efficiency in every sector by enabling processes such as sustainability modelling, predictive maintenance and digital services, along with whole new digital business models. Products will increasingly incorporate digital service components, enabled by the abundance and growing flow of data, to strengthen the competitiveness of the entire offer. Therefore, AI and Big Data are essential to strengthen the 3 key pillars of the European upstream industries: innovation, sustainability and competitiveness, and enable the upstream industries to continue supporting strong European value chains.
These new digital technologies present major opportunities for our industries to contribute to long-term European policy goals, such as substantially increasing resource or energy efficiency and thus reducing carbon and other environmental footprints.
These technologies are developing very quickly while adoption in our industries is often challenging support to speed up their adoption is needed now. In addition, a solid policy framework is needed to promote investment and deployment: protection of intellectual property rights, highest possible cybersecurity, digital single market … The session will offer concrete examples and perspectives from major industrial sectors and a unique opportunity to better understand why AI and Big Data are so high on their agenda.
Talking points
The session will offer concrete examples and perspectives from major industrial sectors and a unique opportunity to better understand why AI and Big Data are so high on their agenda.
- Vision and expectations from a large chemical and materials science company
- Empowering steel manufacturing through Artificial Intelligence and Machine Learning
- How Artificial Intelligence and Big Data will accelerate the discovery and development of ultrahigh-performance materials for future batteries
- Artificial Intelligence: critical enabler in the transformation of Process Industry
Organizer
Knowledge4Innovation Forum in cooperation with Cefic, ESTEP, EMIRI and A.SPIRE
Host
Maria da Graça Carvalho, Member of the European Parliament
Susana Solís Pérez, Member of the European Parliament
Speakers for this event
-
Cartage, Thierry
Cartage, Thierry
Industrial Function, Process Performance & Digital Director Solvay
Thierry has been graduated in Mechanical Engineer followed by a PhD in Applied Sciences at the Université Catholique de Louvain in 1987. He spent most of its career in Research Development and Technology, solving factory problems with innovative solutions, if necessary in partnership with Universities, Research Centers or Start-ups. Since 2012, he is now in the Management Team of the Industrial Function of the Group, in charge of Process Performance and Digital in Plants.
Industrial Function, Process Performance & Digital Director Solvay
-
Colla, Valentina
Colla, Valentina
Technical Research, Scuola Superiore Sant’Anna
Valentina Colla graduated in Engineering at University of Pisa (UNIPI) in 1994 and got a PhD in Industrial and Information Engineering at Scuola Superiore Sant’Anna (SSSA) in Pisa in 1998. Since 2000 She was researcher at SSSA, where She is currently Technical Research Manager and Coordinator of the Research Center “ICT for Complex Industrial Systems and Processes” (ICT-COISP) of the TeCIP Institute. She holds more than 20 years of experience in modeling, simulation, monitoring and control of industrial processes including industrial applications of AI and Machine Learning techniques, with a particular focus on the steel sector. Currently She is lecturer at SSSA for the topic of Fundamentals of Neural Networks and other Bio-Inspired approaches and at UNIPI for the discipline of Structural Materials for Engineering.
Technical Research, Scuola Superiore Sant’Anna
-
Joris, Pierre
Joris, Pierre
President of A.SPIRE, DOMO CHEMICALS
Pierre Joris is Engineer in Physics from University of Liège, holding an M.Sc. in Aeronautics & Astronautics from the University of Stanford, and an Advanced Executive degree from Kellogg's School of Management, Chicago. Pierre has 35 years of international experience in the Chemical Industry. He built his career for 29 years at Solvay, where he has held different leadership positions in R&D, Business Development/M&A and in Global Business Management. In his last positions, he was Managing Director of Solvay Solexis, the global fluoromaterial division of Solvay from 2005 to 2011 and completed his career at Solvay as Chief Scientific and Innovation Officer for the group from 2011 until June 2013. He was active at that time in the Research & Innovation Program Council of CEFIC.
President of A.SPIRE, DOMO CHEMICALS
-
Sioli, Lucilla
Sioli, Lucilla
Director Artificial Intelligence and Digital Industry, DG Connect, European Commission
Director Artificial Intelligence and Digital Industry, DG Connect, European Commission
-
Vegge, Tejs
Vegge, Tejs
Professor, Head of Section, Technical University of Denmark
Prof. Vegge holds a M.Sc. and PhD degree in Computational Materials Physics from the Technical University of Denmark (DTU). During his career, he has worked as an “Innovation postdoc” with Danfoss Corporate Ventures and DTU Physics, as a senior scientist and group leader at Risø DTU, and been a Visiting Professor at SLAC@Stanford University and at T. U. Münich. Prof. Vegge has been an innovator of clean energy materials for more than 18 years, working on accelerating the materials discovery and innovation process. He is an internationally leading expert in development of accelerated methodologies for integrating atomic-scale computational materials design, machine learning, advanced synthesis, in situ characterization and testing. His approaches are fundamental in nature, but maintain a clear focus on the commercial viability of next-generation clean energy materials. Prof. Vegge is an elected member of the Danish Academy of Technical Sciences (ATV), an appointed member of the Danish Government’s Commission on Green Transportation and Mission Innovation Champion (2019), and an EU-US Frontiers of Engineering fellow (2016). He participate in a number of international consortia, e.g. as coordinator of the Battery Interface Genome – Materials Acceleration Platform (BIG-MAP) in Battery 2030+. He has published >130 papers (>6.500 citations; h-index = 41).
Professor, Head of Section, Technical University of Denmark
Speakers
Moderator
Pierre Barthélemy, Executive Director of Research and Innovation, Cefic
Speakers:
Lucilla Sioli, Director Artificial Intelligence and Digital Industry, DG Connect, European Commission
Dr. Thierry Cartage, Solvay Industrial Function, Process Performance & Digital Director
Dr. Eng. Valentina Colla, Scuola Superiore Sant’Anna, Institute of Communication, Information and Perception Technologies: “Empowering steel manufacturing through Artificial Intelligence and Machine Learning”
Prof. Tejs Vegge, DTU Energy, Technical University of Denmark: “How Artificial Intelligence and Big Data will accelerate the discovery and development of ultrahigh-performance materials for future batteries”
Dr. Pierre Joris, Chair A.SPIRE: Artificial Intelligence: critical enabler in the transformation of Process Industry