The Role of Artifical Intelligence in Enterprise Risk Managment

In the modern world, artificial intelligence is not a new concept. Companies, both large and small have incorporated artificial intelligence in risk management. AI can be an effective tool in business since it drives cost efficiencies and operational awareness. Businesses presently use artificial in...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: ABASS, NADA YOUSEF (author)
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/2540
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author ABASS, NADA YOUSEF
author_facet ABASS, NADA YOUSEF
author_role author
dc.contributor.none.fl_str_mv Professor Edward ochieng
dc.creator.none.fl_str_mv ABASS, NADA YOUSEF
dc.date.none.fl_str_mv 2023-03
2024-03-28T10:12:03Z
2024-03-28T10:12:03Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 21002459
https://bspace.buid.ac.ae/handle/1234/2540
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv AI-driven risk assessment, predictive analytics for risk mitigation, automation of compliance processes, cyber security and ai in risk management, ethical considerations in AI-based risk management
dc.title.none.fl_str_mv The Role of Artifical Intelligence in Enterprise Risk Managment
dc.type.none.fl_str_mv Dissertation
description In the modern world, artificial intelligence is not a new concept. Companies, both large and small have incorporated artificial intelligence in risk management. AI can be an effective tool in business since it drives cost efficiencies and operational awareness. Businesses presently use artificial intelligence to achieve strategic transformation, including better risk management. Effective risk management is relatively considered far from becoming an innovation inhibitor, but it’s pivotal to the successful adoption of artificial intelligence. One the main challenges for organizations is less about dealing with new risks or existing risks, but getting the right framework to handle the risks in a timely manner. To avoid issues with risk management, organizations must learn how to reap the benefits of AI. This will make them prepared to handle future risks. Therefore, management and boards must develop a meaningful understanding of new risk management technologies, including the existing and potential uses within organizations. They also need to take a firm grip on the implications of artificial intelligence from a risk perspective. In this research, the aim is to evaluate the effectiveness of artificial intelligence in enterprise risk management, and especially on the context of increased accuracy, efficiency, and speed of decision-making. This research will uncover the biggest challenges that organizations experience when incorporating AI for enterprise risk management and discuss how organizational management can leverage AI to improve enterprise risk management. To complete the research, quantitative data will be collected from different sources, and then analyzed for implications in risk management.
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publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling The Role of Artifical Intelligence in Enterprise Risk ManagmentABASS, NADA YOUSEFAI-driven risk assessment, predictive analytics for risk mitigation, automation of compliance processes, cyber security and ai in risk management, ethical considerations in AI-based risk managementIn the modern world, artificial intelligence is not a new concept. Companies, both large and small have incorporated artificial intelligence in risk management. AI can be an effective tool in business since it drives cost efficiencies and operational awareness. Businesses presently use artificial intelligence to achieve strategic transformation, including better risk management. Effective risk management is relatively considered far from becoming an innovation inhibitor, but it’s pivotal to the successful adoption of artificial intelligence. One the main challenges for organizations is less about dealing with new risks or existing risks, but getting the right framework to handle the risks in a timely manner. To avoid issues with risk management, organizations must learn how to reap the benefits of AI. This will make them prepared to handle future risks. Therefore, management and boards must develop a meaningful understanding of new risk management technologies, including the existing and potential uses within organizations. They also need to take a firm grip on the implications of artificial intelligence from a risk perspective. In this research, the aim is to evaluate the effectiveness of artificial intelligence in enterprise risk management, and especially on the context of increased accuracy, efficiency, and speed of decision-making. This research will uncover the biggest challenges that organizations experience when incorporating AI for enterprise risk management and discuss how organizational management can leverage AI to improve enterprise risk management. To complete the research, quantitative data will be collected from different sources, and then analyzed for implications in risk management.The British University in Dubai (BUiD)Professor Edward ochieng2024-03-28T10:12:03Z2024-03-28T10:12:03Z2023-03Dissertationapplication/pdf21002459https://bspace.buid.ac.ae/handle/1234/2540enoai:bspace.buid.ac.ae:1234/25402024-03-28T23:00:20Z
spellingShingle The Role of Artifical Intelligence in Enterprise Risk Managment
ABASS, NADA YOUSEF
AI-driven risk assessment, predictive analytics for risk mitigation, automation of compliance processes, cyber security and ai in risk management, ethical considerations in AI-based risk management
title The Role of Artifical Intelligence in Enterprise Risk Managment
title_full The Role of Artifical Intelligence in Enterprise Risk Managment
title_fullStr The Role of Artifical Intelligence in Enterprise Risk Managment
title_full_unstemmed The Role of Artifical Intelligence in Enterprise Risk Managment
title_short The Role of Artifical Intelligence in Enterprise Risk Managment
title_sort The Role of Artifical Intelligence in Enterprise Risk Managment
topic AI-driven risk assessment, predictive analytics for risk mitigation, automation of compliance processes, cyber security and ai in risk management, ethical considerations in AI-based risk management
url https://bspace.buid.ac.ae/handle/1234/2540