Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Irfan, Mohammad; Dias, Rui; Hooda, Jayant; Singh, Kashish Ajit; Bang, Sanjay Title A name given to the resource AI's impact on financial services, auditing, and investment strategies: The future ahead Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived AI's Transformative Impact on Finance, Auditing, and Investment;pp.183-224 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0129-7.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0129-7.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009771894?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009771894?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Irfan M., Christ University, Bengaluru, India; Dias R., ESCAD, IPLUSO, Intrepid Lab, Lisboa, Portugal; Hooda J., GLA University, Mathura, India; Singh K.A., Christ University, Bengaluru, India; Bang S., Christ University, Bengaluru, India Description An account of the resource Artificial intelligence (AI) is poised to significantly transform the fields of finance, auditing, and investment over the coming decade. In financial services, AI is anticipated to enhance decision-making processes, improve risk management practices, and facilitate the delivery of personalized financial solutions. The auditing profession will be reshaped by AI and automation, enabling continuous auditing, real-time reporting, and more effective fraud detection mechanisms. In the investment domain, AI is expected to revolutionize portfolio management and asset allocation through advanced predictive analytics and data-driven market strategies. Despite these advancements, the rapid proliferation of AI presents considerable challenges, including ethical considerations, regulatory compliance, and the necessity of re-skilling financial professionals. This strategic overview examines both the opportunities and risks associated with AI integration and provides guidance for organizations seeking to maintain competitiveness in an increasingly AI-driven financial landscape. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730131-0; 979-833730129-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online