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 Iswarya, M.; Nithya, R.; Jarin, T.; Naveenan, R.V.; Loang, Ooi Kok Title A name given to the resource Leveraging Business Intelligence to Explore AI-Driven Transformation in the VUCA and BANI World 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 Redefining Business in Volatile and Ambiguous Times;pp.341-374 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7917-3.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7917-3.ch012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028045121?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028045121?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 Iswarya M., Hindusthan College of Engineering and Technology, India; Nithya R., Kongunadu Arts and Science College, India; Jarin T., Jyothi Engineering College, India; Naveenan R.V., Christ University, India; Loang O.K., Universiti Malaya, Malaysia Description An account of the resource Artificial Intelligence (AI)-driven technological advancements often create competitive business models especially in the unpredictable BANI and VUCA environments. This chapter focuses on the role AI in transforming Business Intelligence (BI) while allowing efficient decision-making and strategic planning. The AI can transform a business using predictive analytics for volatility, automation to address complexity, decision support in non-linear scenarios, personalized user experiences, reliance on adaptive systems, improving employee productivity, and promoting sustainability. A detailed plan is implemented including resource allocation and timeline for the tasks. Using a mixed class agile methodology, a case study is developed for managing the pandemic crisis in the future for the BANI world. The BI-driven insights regarding mortality rates, infection spread, and economic impact help policymakers form informed and effective decisions. The results demonstrate that AI-driven BI offers improved efficiency, accuracy, scalability, and cost reduction in the BANI world. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737919-7; 979-833737917-3; 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