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 Parth, Priyanshu Title A name given to the resource Leveraging artificial intelligence for predictive financial risk management in emerging markets 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 Artificial Intelligence for Financial Risk Management and Analysis;pp.249-269 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1200-2.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1200-2.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004405294?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004405294?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 Parth P., Christ University, India Description An account of the resource This chapter examines how AI is changing the management of financial risk in emerging markets. It discusses how AI is applied, what challenges it encounters, and what the future may hold. Fast changes in global financial markets and the growing complexity of economies in developing countries require better ways of managing risks than the old methods offer. This chapter focuses on how AI technologies change risk assessment and management practices. They offer new capabilities in analyzing data, patterns, and even predicting. The discussion begins by explaining why the old ways of managing risk are not effective in new markets. It then zooms in on how AI-powered solutions can rectify these issues. The chapter explores various uses of AI in managing financial risk, including the assessment of credit risk, detection of fraud, analysis of market risk, and optimization of portfolios. It takes a view of what technical infrastructure is required to implement AI successfully and the steps to do so. It focuses on the challenges of updating old systems in new market financial institutions. 2025 by IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731202-6; 979-833731200-2; 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 All Open Access; Hybrid Gold Open Access Format The file format, physical medium, or dimensions of the resource online