October 15, 2021 from 9:00 am to 6:00 pm Paris Time

The “AI Day” Webinar Program

  • 9:00-9:05 am – Welcome to the Post-Covid Talk Series – Prof. Samuel Fosso Wamba – Head of the Center of Excellence in Artificial Intelligence and Business Analytics – TBS – Toulouse, France
  • 9:05- 9:10 am – Welcome – Prof. Mercy Mpinganjira– Director of the School of Consumer Intelligence and Information Systems in the College of Business and Economics, University of Johannesburg, South Africa.
  • 9:10-9:15 am – Welcome
  • 9:15-10:00 am – Artificial Intelligence myths debunked – how AI is transforming industry for the global good– Prof Michael BLUMENSTEIN, Associate Dean (Research Strategy and Management), Faculty of Engineering and IT, University of Technology Sydney, Australia
  • 10:00-10:45 am – Telemedicine and precision medicine: the role of data in healthcare innovation – Prof Andrea MANTOVANI and Prof Chiara CANTA – TBS -Toulouse, France
  • 10:45-11:15 am – Covid-19 Vaccine hesitancy: A Social Media Analysis– Dr NYAWA Serge– TBS -Toulouse, France
  • 11:15-12:00 am – Artificial Intelligence: developing technology that is responsible – Prof Amir M. Sharif, University of Bradford – Bradford, UK
  • 12:00-1:15 pm – LUNCH BREAK
  • 1:15-1:45 pm – Sharing some insights from APEM and TBS collaboration on AI – Thomas Henin, Marketing Director, APEM, France
  • 1:45-2:15 pm – Scaling AI at Airbus – VALENTIN FABRICE –Head of Advanced Analytics & Artificial Intelligence – Airbus, France
  • 2:15-2:45 pm – Regular road object consolidation for connected and autonomous driving– Dr Dieudonné TCHUENTE – TBS -Toulouse, France
  • 2:45-3:15 pm – Artificial Intelligence and Applications: Showcasing recent projects – Prof Abejide Ade-Ibijola – Department of Applied Information Systems, School of Consumer Intelligence and Information Systems, College of Business and Economics, University of Johannesburg, South Africa 
  • 3:15-3:45 pm – A New EU Framework for Regulating AI? The Proposed Artificial Intelligence Act – Prof. W. Gregory Voss – TBS – Toulouse, France
  • 3:45-4:15 pm – Democratizing Data Science for the Non-Sciences – Prof Hossana Twinomurinzi – Head of The Centre for Applied Data Science, School of Consumer Intelligence and Information Systems, College of Business and Economics, University of Johannesburg, South Africa 
  • 4:15-4:45 pm – Assessing the Impact of AI-Enabled Entrepreneurial Capabilities on Innovation and Performance – Dr Yulia W. Sullivan – Hankamer School of Business – Baylor University, US and Prof. Samuel Fosso Wamba –TBS – Toulouse, France
  • 4:45-6:00 pm – Questions & Answers/Closing Remarks – Prof. Samuel Fosso Wamba, Prof Hossana Twinomurinzi & Julius Akinyemi


amin m sharif

Amir M. SHARIF, University of Bradford

Title:Artificial Intelligence: developing technology that is responsible

Bio: Amir M. Sharif is the Dean of the Faculty of Management, Law and Social Sciences and Professor of Circular Economy. Before joining the University of Bradford in 2017 as Associate Dean (International and Accreditations), Amir held several senior academic leadership positions including as Head of Brunel Business School, Associate Head, Director of MBA Programmes, Director of Learning and Teaching and was the Founding Director of the Operations and Supply Chain Systems group (OASIS) (at Brunel University London).

Before joining academia, Amir worked for several years as an industry practitioner in the financial services and professional services sector including for JPMorgan, UBS Investment Bank and KPMG, gaining deep experience across technology, manufacturing and the public sector as a result. Starting his academic career as a researcher within the field of artificial intelligence, Amir rapidly developed his research interests to apply his knowledge to addressing complex societal challenges in the areas of food security, circular economy, healthcare, operations / supply chain management, decision-making and humanitarian logistics. His specific area of interest is in the application of systems thinking, causal and cognitive models to explore human decision-making behaviours in complex environments. He has extensive international teaching and research experience including across Europe, MENA / Gulf region, South Asia and the UK (having also taught at the University of Cambridge and Goldsmiths College (University of London)).



Title : Regular road object consolidation for connected and autonomous driving

Bio: Dr. Dieudonné Tchuente is assistant professor in computer science and big data at Toulouse Business School.

His research interests include user modeling for personalized applications in information systems, intelligent transportation systems, social networks analysis, AI and big data applications. He has also been senior consultant and big data architect for many years in many telecommunications or transport companies, working on many R&D data driven projects such as the design of new cloud-based services from crowdsourced vehicles sensors data, for connected and autonomous driving.

g voss

Gregory VOSS, TBS

Bio: Voss is an Associate Professor of Business Law at TBS Business School. His research interests center on technology law, with a focus on EU law regulating new technologies (e.g., General Data Protection Regulation, EU Digital Agenda, and EU Copyright law). He also writes about legal strategy in this context, and about comparative law in data privacy. His articles have appeared in law and technology journals in the United States and France, among other research outlets, and he has contributed to research handbooks and monographs published in the United Kingdom, Spain, and Canada. His practitioner book “Navigating EU Privacy and Data Protection Laws” (co-written with Katherine Woodcock) was published by the American Bar Association.

He teaches in the M1 Big Data program at TBS Barcelona, and in the MS AI & Business Transformation taught jointly by TBS Toulouse and ISAE. In addition to being a member of TBS’s Artificial Intelligence & Business Analytics Center of Excellence, he is an associated member of the Research Institute on European, International and Comparative Law (IRDEIC) at Université Toulouse 1 Capitole.

Chiara CANTA and Andrea MANTOVANI, TBS

Title: “Telemedicine and precision medicine: the role of data in healthcare innovation”

  • General Presentation of the project (10 minutes, Chiara and Andrea)
  • Privacy regulation, intellectual property rights, and medical innovation (10 minutes, Chiara)
  • Health data pooling platforms (10 minutes, Andrea)
c canta

Chiara Canta earned her PhD in 2010 from Toulouse School of Economics. She was a post-doctoral fellow at CORE, Université Catholique de Louvain, and Assistant Professor at the Norwegian School of Economics. Since 2017, she is Associate Professor at Toulouse Business School.

Her research focuses on health economics, public economics, and industrial organization, and has been published in journals such has the Journal of Health Economics, Economic Theory, Social Choice and Welfare, and European Economic Review.

andrea mantovani

Andrea Mantovani received is PhD in Economics from CORE, Université Catholique de Louvain. He joined Toulouse Business School in 2020 as Associate Professor. His main research focuses on industrial economics, digital platforms, managerial economics, competition policy, economics of innovation, and environmental economics.

He has published in journals such as Management Science, International Journal of Industrial Organization, Journal of Economic Dynamics and Control, European Economic Review, and Health Economics, among others.

michael blumenstein

Michael BLUMENSTEIN, Associate Dean (Research Strategy and Management), Faculty of Engineering and IT
​University of Technology Sydney

Title: “Artificial Intelligence myths debunked – how AI is transforming industry for the global good”

Bio: Michael Blumenstein is currently a Professor and the Associate Dean (Research Strategy and Management) in the Faculty of Engineering & IT at UTS where he concluded his role as Head of the School of Software. He formerly served as the Head of the School of Information and Communication Technology at Griffith University, and earlier as the Dean (Research) in the Science, Environment, Engineering and Technology Group.
Michael is a nationally and internationally recognised expert in the areas of automated Pattern Recognition and Artificial Intelligence, and his current research interests include Marine Life and Shark Detection from Video Imagery, Document Analysis, Video-based/multi-lingual Text Detection and Signature Verification. He has published over 300 papers in refereed books, conferences and journals. His research also spans various projects applying Artificial Intelligence to the fields of Engineering, Environmental Science, Neurobiology and Coastal Management. Michael has secured internal/nationally competitive research grants to undertake these projects with funds exceeding AUD $6 Million. Components of his research into the predictive assessment of beach conditions have been commercialised for use by local government agencies, coastal management authorities and in
commercial applications.
In addition, Michael’s team has developed SharkSpotter, a world-first AI-based technology for detecting Sharks in the ocean from Unmanned Aerial Vehicles (UAVs). The software was developed in collaboration with local company, The Ripper Group, to protect beachgoers and to save lives. It has
been deployed at over 50 beaches in Australia (including within New South Wales and Queensland).
SharkSpotter has attracted numerous industry awards, including recent recognition at the National iAwards for the 2018 AI or Machine Learning Innovation of the Year. Following the success of SharkSpotter, Michael’s team has developed world-first technology to protect North Queensland’s
waterways from predators via the launch of CrocSpotter in 2019. In 2020, Michael’s Team was conferred the Australian Association for Unmanned Systems (AAUS) Industry Champions Innovation Award for research undertaken on their AI-Spotter suite of technology.
In 2009 Michael was named as one of Australia’s Top 10 Emerging Leaders in Innovation in the Australian’s Top 100 Emerging Leaders Series supported by Microsoft. Michael is a Fellow of the Australian Computer Society and a Senior Member of the IEEE.

abejide ade ibijola

Abejide ADE-IBIJOLA, Associate Professor: Artificial Intelligence and Applications, Department of Applied Information Systems, School of Consumer Intelligence and Information Systems, College of Business and Economics

Title: Artificial Intelligence and Applications: Showcasing recent projects. 

Bio: Prof. Abejide Ade-Ibijola holds a PhD in Computer Science (Artificial Intelligence) from the University of the Witwatersrand, Johannesburg, South Africa. He is currently an Associate Professor of Artificial Intelligence and Applications in the Department of Applied Information Systems at the University of Johannesburg (UJ), South Africa. Abejide is rated by the National Research Foundation (NRF) of South Africa and he is mainly interested in problems/algorithms in Artificial Intelligence, and innovations for driving the 4th Industrial Revolution. Abejide has bagged 100+ career awards and recognitions. He is a Two-time Winner of the UJ Vice-Chancellor’s Distinguished Awards for the Innovation of the year 2019 and Teacher Excellence 2020. More at: abejide.org.

hossana twinomuri

Hossana TWINOMURINZI, Professor with the Department of Applied Information Systems, University of Johannesburg

Title: Democratizing Data Science for the Non-Sciences

Bio: Hossana Twinomurinzi BSc Hons (Mathematics), Masters (IT), PhD (IT) is a C2 NRF Rated Researcher and Professor with the Department of Applied Information Systems, University of Johannesburg. He is currently leading the Centre for Applied Data Science in the School of Consumer Intelligence and Information Systems. He is also Associate Editor for the African Journal of Information and Communication. His primary research interests are in Data Science, Digital Skills / Government / Development. He serves on the editorial boards of the International Journal of Distributed Systems and Technologies and Reading and Writing: Journal of the Reading Association of South Africa. He has extensive management and executive experience having served in chief executive and senior management positions.

mercy mpinganjira


Bio: Prof Mercy Mpinganjira is the Director of the School of Consumer Intelligence and Information Systems in the College of Business and Economics at the University of Johannesburg, South Africa. She joined the University of Johannesburg in 2007. Before becoming the Director of the School, she was the Head of the Department of Marketing Management. Prof Mpinganjira holds a PhD (Management), a Master of Business Administration (MBA) and a Graduate Diploma in Business Administration from the University of Newcastle in Australia. She also has a BSc (with distinction) from the University of Malawi. Professor Mpinganjira’s research interests are in the areas of Consumer Behaviour and Digital Marketing. Her work has been published in several books, national and international journals as well as conference proceedings. Her current research includes studies on AI in Marketing.

s fosso wamba


Dr. Samuel Fosso Wamba is a Professor at TBS Education, France, and a Distinguished Visiting Professor at The University of Johannesburg, South Africa. He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada.  He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada.  He also holds two master’s degrees: one MSc in mathematics from the University of Sherbrooke in Canada and another MSc in electronic commerce (major: computer science) from HEC Montreal, Canada. His current research focuses on the business value of I.T., inter-organizational systems adoption, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. He is a CompTIA RFID+ Certified Professional and the Academic Co-Founder of RFID Academia. Apart from teaching and conducting research, He leads the newly created Center of Excellence in Artificial Intelligence & Business Analytics at TBS Education. He has been recently recognized as the most influential scholar in big data analytics and enterprises based on the number of published articles and citations and among the 2% of the most influential scholars in the world based on the Mendeley database that includes 100,000 top scientists. He ranks in ClarivateTMs 1% most cited scholars in the world for 2020, from the “Highly Cited ResearchersTM” list that identifies global research scientists who show exceptional influence-reflected in the publication of multiple papers frequently cited by their peers.  He ranks in CDO Magazine’s Leading Academic Data Leaders 2021. Furthermore, his current Google Scholar h-index is 52, with 12,124 citations by September 3, 2021.



Title: Covid-19 Vaccine hesitancy: A Social Media Analysis,

Authors: Serge Nyawa, Samuel Fosso-Wamba and Dieudonné Tchuenté

Abstract : Despite the availability of vaccine doses, a huge part of the population is hesitating to be vaccinated against COVID19, most of them are taking a wait-and-see approach (France (60%), Russia (57%) and South Africa (47%), USA (30%), UK (22%), by May 2021). Anti-vaccination activists are spreading negative rumours about available vaccines. The World Health Organization considers vaccine hesitancy as one of the more important global health threats. Most often, vaccine hesitancy comes out after debates or partial information relatively to a specific disease. The reasons why people can hesitate to be vaccinated are of many folds: a lack of confidence, complacency or unnecessity, and difficult accessibility. This study contributes to the growing literature on developing tools to identify people who are hesitating and antivaxxers. We rely on Machine Learning and deep learning models to develop and compare within the same framework models able to recognize messages from an hesitant and an antivaxxer. We obtain that Random Forest outperforms the others methods with 85% of accuracy. Our result can be used to improve government vaccination campaigns against COVID19 on social media.

Bio: Serge Nyawa is currently an Assistant Professor at Toulouse Business School. He is interested in Financial Economics, Econometrics, Big Data and Social Media Analytics. His research includes financial systemic risk, estimation and forecasting of high dimensional covolatility matrices for portfolio allocation, risk management, asset pricing, Machine learning and Social Media Analytics.

thomas henin

Thomas HENIN

Titre : Sharing some insights from APEM and TBS collaboration on AI

Bio: Thomas worked for various B2C & B2B companies on several continents and has been entrusted with multiple roles in sales, marketing, strategic & innovation management, and business management. He joined the APEM Group in 2019 as Group Marketing Director to support the company’s strategic choices. He is conducting several innovations, digitalization, and data-driven projects to set the path for future value.

yulia w sullivan


Title: Assessing the Impact of AI-Enabled Entrepreneurial Capabilities on Innovation and Performance

Bio: Yulia W. Sullivan, Ph.D. is an Assistant Professor of Information Systems & Business Analytics in Hankamer Business School at Baylor University. She earned her PhD degree in information systems from the University of North Texas. Her research interests include cognitive information systems, human-computer interaction, the value of IT, IS and decision making, and mixed methods research. Her work has been accepted and/or published in several journals including MIS Quarterly, Journal of the Association for Information Systems, International Journal of Information Management, Journal of Medical Internet Research, Cyberpsychology, Behavior, and Social Networking, and others. She has also presented her research at many international conferences including the International Conference on Information Systems and the Hawaii International Conference on System Sciences.

fabrice valent

Fabrice VALENTIN, Head of Advanced Analytics & Artificial Intelligence, AIRBUS

Fabrice Valentin was appointed Head of AA & AI in February 2021, in charge of a Product Service Line aiming at providing end-to-end AI solutions.
The various teams are composed of Data Scientists, AI as well as IT experts & specialists and their mission is to scale AI across all of Airbus. Before embarking on this journey, Fabrice was leading an intrapreneurship project as part of the Airbus BizLab aiming at providing an innovative digital service solution for the air transport industry while he was also in charge of the Market Forecast department within Strategy.
Previous to this, Fabrice Valentin has been involved with technology valuation for the CTO and performing various roles for the Commercial / Strategy function of Airbus in Toulouse headquarters as well as Operations
in Germany.
Fabrice Valentin has studied both in France and Germany and graduated as electrical engineer from the Karlsruhe University in 2004.
Before joining Airbus and after being involved in a few start-ups, he ran R&D projects for a German automotive supplier in several countries, USA (California), and India (Bangalore), where he set up an engineering department.

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