A Tentative Framework for Risk and Opportunity Detection in A Collaborative Environment Based on Data Interpretation

Frederick Benaben 1 Benoit Montreuil 2 Juanqiong Gou 3 Jiayao Li 3, 1 Matthieu Lauras 1 Ibrahim Koura 1, 3 Wenxin Mu 3
1 CGI - Centre Génie Industriel
2 ISyE - School of Industrial and Systems Engineering [Georgia Tech]
3 BJTU - Beijing Jiaotong University
Abstract : This article deals with the question of risk and opportunity identification based on data management as one main step of the convergence of artificial intelligence and industrial engineering. Two main subjects are addressed in this article: (i) the data management framework that could be the backbone for the whole approach, and (ii) the modeling theoretical background that could be used as a basement for the definition of a formal system for risk and opportunity modeling. The general principles presented in the article are used to define outlooks and to organize them as milestone of a roadmap.
Keywords : Disaster Information Technology data management decision support opportunity risk cascading effect Digital Government
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Conference papers
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Submitted on : Monday, January 21, 2019 - 2:55:25 PM
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Frederick Benaben, Benoit Montreuil, Juanqiong Gou, Jiayao Li, Matthieu Lauras, et al.. A Tentative Framework for Risk and Opportunity Detection in A Collaborative Environment Based on Data Interpretation. HICSS 52 - 52nd Hawaii International Conference on System Sciences, Jan 2019, Maui, Hawaii, United States. 10 p. ⟨hal-01988039⟩

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