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DTSTART;TZID=Europe/Brussels:20261001T090000
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CREATED:20260917T122948Z
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SUMMARY:Vertical Artificial Intelligences: Specificities and Challenges
DESCRIPTION:This conference is organised by the Governance and Regulation Chair at Paris Dauphine-PSL University\, in partnership with the Gaia-X Institute and with the support of Caisse des Dépôts. \nThe development of vertical artificial intelligences —that is\, AI engines specialised by value chains or use cases—is a crucial challenge for all value chains around the world. The integration of artificial intelligence into various products\, including autonomous vehicles and medical equipment\, as well as along value chains\, from the aeronautical to tourism industries\, is poised to catalyse significant productivity gains\, enhanced capabilities and innovation. This phenomenon is likely to contribute to the overall socio-economic growth. Also\, the ability to develop and implement vertical artificial intelligence will be pivotal in reshaping the competitive positions of firms and national economies. Inter alia\, the reindustrialisation of Europe will depend upon the capacity to reconfigure value chains through the implementation of such technologies. More generally\, vertical artificial intelligence constitutes a pivotal element in the prevailing competitive dynamic between the United States\, China\, and Europe. It is therefore imperative to cultivate a comprehensive understanding of the economic principles and technological facets of vertical AI. \nVertical AI is predicated on a distinct technological foundation from general AI\, the latter of which is popularised by LLMs and generative AI. Its approach is less agnostic because its specialised purpose allows its developers to combine scientific and technological knowledge with machine learning\, which in turn leads to smaller models. Furthermore\, it is trained on industrial data generated by the captors embedded in products and processes\, as well as by the information systems of organisations delivering products and services to professional and non-professional users alike. Accessing these high-quality data sources necessitates the cooperation of the corporations or governmental bodies that generate them. These entities are also the primary potential users of these vertical AI engines. The combination of these two technological characteristics results in a contrast between the economics of vertical AI and of general AI. \nThe development of general/generic AI has been predominantly propelled by the emergence of prominent entities capable of mobilising substantial financial investments to access voluminous data sets and massive computing capabilities to train models. Operating the resulting very large models subsequently demand significant resources and are characterised by substantial economies of scale. Consequently\, this has engendered a winner-takes-all dynamic\, as the return on investments necessitates the provision of services to a substantial user base. \nIn contrast\, vertical AI demands a symbiotic relationship between users and developers\, a balanced consideration of economies of scale and specialisation requests (fit for purpose)\, resulting into AI engines characterised by a much lower capital intensity. These characteristics may potentially lead to a more fragmented market\, characterised by a differentiation-based competitive environment\, and a coopetition between AI engine designers and the entities and communities generating data and implementing AI based solutions in their operations and products and services. \nThe conference will convene a group of experts from academia\, government\, and industry to deliberate on the technological\, strategic\, and politico-economic challenges associated with the development and implementation of vertical artificial intelligence. \nProgramme & Speakers\nMorning | The economics and technology of Vertical AI \n9:00 am – 10:15 am: The techno-economic specificities of VAI \nChair: Eric Brousseau – Governance & Regulation Chair \nSpeakers : \n\nJakob Rehof – Lamar Institute Dortmund\nMichael Kamp – Lamar Institute Dortmund\nEric Brousseau & Joëlle Toledano – Governance & Regulation Chair\n\n10:15 am – 10:45 am: Coffee Break \n10:45 am – 12:00 pm: The industrial challenges of VAI \nChair: Boris Otto – Fraunhofer Institute \nSpeakers : \n\nLaurent Lafaye – Dawex\nArthur Mark Langer – Columbia University\nMaro Bader – Sphin-X\n\n12:00 pm – 01:00 pm: Lunch \nAfternoon | European Challenges for vertical AI \n01:00 pm – 02:15 pm : Toward smart data ecosystems \nChair: Hubert Tardieu – Gaia-X \nSpeakers : \n\nJean-Pascal Riss – Schneider Electric\nMartine Gouriet – EDF\nJean-Baptiste Burtscher – Valeo\n\n02:15 pm – 02:45 pm: Coffee Break \n02:45 pm – 04:00 pm: The European path to vertical AI \nChair : Jakob Rehof – Lamar Institute Dortmund \nSpeakers : \n\nMario Campolargo – Aveiro University\nBert Verdonck – Luxembourg National Data Service\nBoris Otto – Fraunhofer Institute\nBruno Sportisse – Inria\n\n04:00 pm – 04:30 pm: Conclusion | Economics\, Governance\, and Information systems for smart data ecosystems \nChair: Joëlle Toledano – Governance & Regulation Chair \nSpeakers : \n\nBoris Otto – Fraunhofer Institute\nJakob Rehof – Lamar Institute Dortmund\nBruno Sportisse – Inria\nEric Brousseau – Governance & Regulation Chair\n\n04:30 pm – 05:30 pm: Cocktail \nMore information and registration here!
URL:https://gaia-x.eu/event/vertical-artificial-intelligences-specificities-and-challenges/
LOCATION:Dauphine\, Salle Raymond Aron (2e étage)\, Place du Maréchal de Lattre de Tassigny\, Paris\, 75775\, France
CATEGORIES:Hubs
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