1. Proceedings
  2. I3M
  3. 2019
  4. EMSS
  5. 10.46354/i3m.2019.emss.055

Machine Learning to support Industrial Digitalization and Business Transformation

  • a Agostino G. Bruzzone  ,
  • b Marina Massei  ,
  • c Kirill Sinelshchikov  ,
  • d Giuliano Fabbrini  ,
  • e Marco Gotelli  ,
  • f Alberto Molinari  
  • a,b,c Simulation Team, Genoa University, Italy
  • d,e SIM4Future, Italy
  • f Liophant Simulation, Italy
Cite as
Bruzzone A., Massei M., Sinelshchikov K., Fabbrini G., Gotelli M., Molinari A. (2019). Machine Learning to support Industrial Digitalization and Business Transformation. Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 390-393. DOI: https://doi.org/10.46354/i3m.2019.emss.055.

Abstract

This paper addresses use of Artificial Intelligence (AI) and in particular Intelligent Agents (IA) in order to evaluate efficiency of information exchange and awareness in Small and Medium Enterprise (SME), with particular attention to digital transformation. To perform required experimentation, the authors have developed a Serious Game (SG) named JANUS, in which the player interacts with intelligent agents representing a virtual company and its actions aim to acquire as much as possible data about the organization.

Modeling | Simulation | AI | IA | ANN | Data analytics | CPM | CRM | Digitalization

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