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Full Description
In an era of rapid technological innovation and digital transformation, artificial intelligence (AI) is reshaping the way organizsations approach talent acquisition and management. Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization analyses the intersection of AI and workforce strategies, offering readers a thorough exploration of analytical approaches, cutting-edge practices, and innovative models.
Bridging the gap between AI theory and practical application, the authors provide actionable frameworks and strategies for leveraging AI in workforce management. From streamlining talent acquisition to enhancing management practices, the authors present a comprehensive roadmap for navigating the transformative impact of AI on digital talent strategies. Whether you're a business leader, HR professional, or academic, this book equips you with the tools and knowledge to thrive in the ever-evolving landscape of digitalization.
Contents
Chapter 1. Occupational and Diversity Intelligence: Unlocking Talent in the Digital Era; Akanksha Khanna and Mary Rani Thomas
Chapter 2. Optimizing Digital Talent Management with AI: Analytical Approaches and Innovations; B Nithya, Kavitha Krishnan, Amudha Chachithanantham, and Sridanya Ravikumar
Chapter 3. Reimagining Talent Acquisition in the Landscape of AI: A Comprehensive Overview of Models, Tools, and Techniques; Anuradha Goswami and Suresh G
Chapter 4. Enhancing Talent Acquisition through Artificial Intelligence on LinkedIn: A Paradigm Shift in Digital Recruitment; Anand Shankar Raja M.
Chapter 5. Revolutionizing HR: AI-Driven Transformation in Talent Acquisition, Development, and Management; L. R. Niranjan and Shivakami Rajan
