The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Harnessing AI for Risk Assessment and Mitigation in Enterprise Risk Management
Abstract
Enterprise Risk Management (ERM) is an organized process that is used for identifying, assessing, and averting risks, which have impacts on the performance and goals of an organization. As business dynamics have become riskier and increasingly complex in our time, the right risk management has become inevitable for organizations aspiring to be viable and sustainable. This essay depicts techniques in ERM, with a central focus on structured risk identification through data analysis, quantitative model-based risk analysis, and crafting specific mitigation plans. It highlights utilizing sophisticated techniques such as machine learning, i.e., Bi-Stacked Gated Recurrent Units (Bi-Stacked GRU), to enhance more precise forecasting of risks and make dynamic decisions. The incorporation of such technologies in ERM models assists organizations to predict and handle risks, minimize vulnerabilities, and enhance performance.
Related Content
|
C.V. Suresh Babu, Andrew P Simon, Sudhir Manoharan.
© 2026.
34 pages.
|
|
Usharani Bhimavarapu.
© 2026.
22 pages.
|
|
Usharani Bhimavarapu.
© 2026.
26 pages.
|
|
Mahan Sakwaya, Yusuf Anwer, Anamika Rana.
© 2026.
28 pages.
|
|
Anamika Rana, Vishud Purohit, Lakshya Sohane.
© 2026.
28 pages.
|
|
Himasri Sadineni.
© 2026.
32 pages.
|
|
Timilehin Olasoji Olubiyi, Olaitan Comfort Bamidele, Adesanmi Timothy Adegbayibi, Akinpelu Ayobami Kolade.
© 2026.
24 pages.
|
|
|