The students were asked to devise an innovative use case and build a prototype, leveraging Machine Learning technologies, which not only has a positive impact on individuals and/or on business transformation but also in which an effective use of resources, the correct use and management of investment and technological development are all aligned.
They must then demonstrate the anticipated positive impact of their use case on individuals, on business processes or on the transformation of companies, particularly regarding the major challenges surrounding the sustainability of our economic and social development models. The students' ability to develop future functionalities of their solutions, and define routes to market, is also one of the factors considered when evaluating projects.
This edition of the Atos IT Challenge attracted many applications and generated particularly innovative ideas from teams in 20 countries around the globe.
Gilles Grapinet, Senior Executive Vice President, Global Functions at Atos and Chairman of the IT Challenge Jury, stated: "At Atos, we get enthusiastic every year about the motivation of the candidate teams, the increasing geographical diversity of the Universities and Schools from which they come and, even more so, about the level and creativity of the ideas proposed. This year's theme for 2019 has clearly inspired and motivated many students and teaching staff, and I must admit that the task of selecting the best concepts from this tremendous wealth of ideas has been harder than ever for our selection committee. I would like to thank all participants for sharing their remarkable creativity with us, and we look forward to seeing how the pre-selected teams will transform their concepts into concrete projects over the coming months."
The 15 shortlisted teams chosen by a Jury made up of members of the Atos Scientific Community - a global network of 100 experts, are:
Easyload from Université Paris 1 Panthéon-Sorbonne
Ovarian Serous Cystadenocarcinoma Deep Learning Approach from Universiti Kebangsaan Malaysia
Artificial Cashier Assistant from Tilburg University
Sunubus from Ecole Supérieure Polytechnique de Dakar
9. United Kingdom
In the next phase, each team will be assigned a mentor who will provide guidance and advice on how to build the proof of concept they will present in May 2019. Three finalists will then be chosen, and then a winner, which will be announced at the awards ceremony in June.
For more information, you can visit the contest web page.