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 Niranjan, L.R.; Rajan, Shivakami Title A name given to the resource REVOLUTIONIZING HR: AI-DRIVEN TRANSFORMATION IN TALENT ACQUISITION, DEVELOPMENT, AND MANAGEMENT Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.95-112 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034486368?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034486368?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 Niranjan L.R., aSchool of Business and Management, Christ University, Karnataka, Bangalore, India; Rajan S., Faculty of Management and Commerce, Ramaiah University of Applied Sciences, Karnataka, Bangalore, India Description An account of the resource Introduction: Organizations in the knowledge-based industry depend on intellectual capacity, where key talent plays a major role in their success and business sustainability. Human resource (HR) management, in its traditional form involves labour-intensive processes and practices that are prone to unconscious bias, inadequate retention measures and diversity issues creating significant challenges in talent management. Purpose: The study brings to the fore a multi-stakeholder outlook that makes the adoption of artificial intelligence (AI) very lucrative. This study aims to highlight the capabilities of AI that address its limitations and retain a human-centric approach. Scope: The study encompasses the whole gamut of talent management lifecycle, starting from recruitment automation initiatives to onboarding, career planning and development, employee engagement, performance management, and succession planning in large global organizations. Methodology: The authors carried out an extensive review of the literature and analysis of use cases encompassing the use of AI and its implementation strategies, outcomes, and best practices, spanning the myriad talent acquisition and management functions. Findings: About 40% of large organizations have plans to invest in AI-enabled skills management solutions by 2028. AI-driven talent analyticshaveenabledbettercandidateassessment,hiringbiaseshave significantly reduced, and retention rates have increased an 82%. Significant workload savings, enhanced prediction capabilities, and improved accuracy across talent management processes are some of the other benefits of AI-enabled talent management solutions. AI usage has enhanced HR professionals efficiency, leadership has improved their decision-making capabilities, and employees have experienced increased opportunities for personal and professional development. Individual chapters 2026 The authors. Subject The topic of the resource Artificial intelligence; bias reduction; human resource virtual assistants; human-centred HR; recruitment automation; talent management Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0; 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