Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
---|---|---|
Article Number | 01005 | |
Number of page(s) | 4 | |
Section | Artificial Intelligence | |
DOI | https://doi.org/10.1051/itmconf/20246901005 | |
Published online | 13 December 2024 |
Leveraging AI for Enhanced Operational Risk Management in Sports Events
1 LAMIGEP, EMSI Marrakech
2 LRPFG, ENCG Casablanca, Morocco
3 LAMGEP, ENCG EL Jadida, Morocco
* Corresponding author: M.jibraili@emsi.ma
This article explores the integration of artificial intelligence (AI) into operational risk management at sporting events. It highlights the major advances brought about by AI, particularly in managing crowd safety, optimising logistics flows, and improving ticketing and procurement systems. However, challenges remain, such as the reliability of the technologies deployed, real-time incident management, and stakeholder resistance to change. The article uses semi-structured interviews with international experts to gather informed perspectives on current and future applications of AI in this field. The results reveal that, although AI offers many opportunities to minimise operational failures, concerns remain about the complexity of algorithms and the management of real-time data. Despite these obstacles, the paper concludes that future prospects are promising, with potential innovations such as the automation of critical processes and the prediction of operational incidents.
Key words: Artificial intelligence / Operational risk / Sporting events
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.