Leveraging AI for Enhanced Operational Risk Management in Sports Events

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...

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Main Authors: Jibraili Malak, Rharib Abderrahim, Jibraili Zineb
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01005.pdf
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author Jibraili Malak
Rharib Abderrahim
Jibraili Zineb
author_facet Jibraili Malak
Rharib Abderrahim
Jibraili Zineb
author_sort Jibraili Malak
collection DOAJ
description 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.
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issn 2271-2097
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spelling doaj-art-b71f67f1cfb448839aa115e95c9da72e2025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690100510.1051/itmconf/20246901005itmconf_maih2024_01005Leveraging AI for Enhanced Operational Risk Management in Sports EventsJibraili Malak0Rharib Abderrahim1Jibraili Zineb2LAMIGEP, EMSI MarrakechLRPFG, ENCG CasablancaLAMGEP, ENCG EL JadidaThis 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.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01005.pdfartificial intelligenceoperational risksporting events
spellingShingle Jibraili Malak
Rharib Abderrahim
Jibraili Zineb
Leveraging AI for Enhanced Operational Risk Management in Sports Events
ITM Web of Conferences
artificial intelligence
operational risk
sporting events
title Leveraging AI for Enhanced Operational Risk Management in Sports Events
title_full Leveraging AI for Enhanced Operational Risk Management in Sports Events
title_fullStr Leveraging AI for Enhanced Operational Risk Management in Sports Events
title_full_unstemmed Leveraging AI for Enhanced Operational Risk Management in Sports Events
title_short Leveraging AI for Enhanced Operational Risk Management in Sports Events
title_sort leveraging ai for enhanced operational risk management in sports events
topic artificial intelligence
operational risk
sporting events
url https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01005.pdf
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AT jibrailizineb leveragingaiforenhancedoperationalriskmanagementinsportsevents