Keywords
AI in HR Management, Artificial Intelligence in Human Resource Management, Machine Learning in HR Analytics, Natural Language Processing for Recruitment, Predictive Analytics in Workforce Management, Digital Twin Workforce Simulation, People Analytics and Organizational Network Analysis, AI-Powered Recruitment and Resume Screening, Talent Acquisition with AI, Diversity Equity and Inclusion AI, AI for Inclusive Workforce Development, Metaverse in Workforce Training, Immersive Learning Technologies HR, Industry 5.0 Workforce Transformation, Employee Experience Management AI, Emotional AI and Sentiment Analysis in HR, Mental Health Analytics Workplace, Burnout Prevention AI Systems, Human-AI Collaboration in HR, Ethical AI in Human ResourcesAI and The Future of Talent: Volume 01 : EvolveTech: The Future is Now - Volume 01
edited by: Ganesh V. Radhakrishnan, Kamal Upreti, Agnieszka Gora Blaszczykowska,Sonali Gaur & Rituraj JainLength: 22.9 mm | Breadth: 15.2 mm | Height: 3.570 mm | Imprint: NIPA | Weight: 900 GMS
AI and the Future of Talent: Strategic Workforce Intelligence for Industry 5.0 explores how artificial intelligence is reshaping human resource management, organizational culture, and talent development. The book examines the evolution of Industry 5.0, where humans and machines collaborate to build intelligent, inclusive, and sustainable workplaces. It covers AI-driven recruitment, people analytics, digital twins, emotional AI, and immersive training systems.
Special focus is given to ethics, diversity, employee well-being, and inclusive leadership. Blending research, case studies, and practical insights, this book is a comprehensive guide for understanding how AI is transforming workforce intelligence while keeping human values at its core.
Chapter 1. Revolutionizing HR Management Through AI: Trends and Challenges
Bhanumathi P. and Hemavathi G.P.
Chapter 2. Core Technologies in Machine Learning and Natural Language Processing: Enabling Predictive Analytics for Industry 5.0
Rekha Kaushik, Supriya Aggarwal, Arpit Chauhan and Tanush Lukha
Chapter 3. Digital Twin of the Workforce: AI-Driven Simulation and Forecasting for Strategic Talent Management
Agnieszka Góra-Błaszczykowska and G.V. Radhakrishnan
Chapter 4. Advanced People Analytics and Organizational Network Analysis
Soumojit Maitra, Susmit Ray, Rohit Biswas, Piyal Roy and Cheku Dorji
Chapter 5. AI-Powered Recruitment: Smart Sourcing and Resume Screening
Niyati Dhamecha, Divya Kavathiya, Mitesh Patel, Tejas Chauhan and Rachit Adhvaryu
Chapter 6. Reimagining Responsible Talent Acquisition Through Artificial Intelligence for Building Inclusive and Sustainable Workforces
Ashish Sharma, Nausheen Khilji, Rakesh Saxena and M. Muruganandam
Chapter 7. Biases to Belongingness: Role of AI in Diversity and Equity
Ritika Uttam and Oshin Dixit
Chapter 8. Metaverse and Immersive AI for Workforce Training and Experience
G.V. Radhakrishnan and Agnieszka Góra-Błaszczykowska
Chapter 9. Redefining Human Capital through AI: A Framework for Reskilling and Upskilling in Industry 5.0
Gagandeep Singh, Jasdeep Singh Walia and Priya Mandiratta
Chapter 10. The Rise of Emotional Intelligence in Employee Experience Management
Om Prakash Suthar, Yogeshwar Prajapati and Rahul Bhandari
Chapter 11. Workforce Intelligence in the Era of Industry 5.0 & AI: Reprogramming Skills Transforming Culture and Advancing Sustainability through the AI-Integrated Enterprise
Prachita Patil, Ruchi Chaudhary, Saket Narendra Bansod and Sushil Gadekar
Chapter 12. Mental Health Analytics in the Workplace: Leveraging AI and Big Data for Proactive Wellbeing and Talent Sustainability
Chandraparsad, Kay Thi Kyaw, Rituraj Jain and Aung Kyaw Zin
Chapter 13. Sentiment Analysis and Emotional AI in Employee Experience
Susmit Ray, Soumojit Maitra, Piyal Roy, Amitava Podder and Cheku Dorji
Chapter 14. Proactive Burnout Prevention: Psychosocial Insights and Well-being Monitoring in Industry 5.0
Nandini
Chapter 15. AI in Diversity, Equity and Inclusion Initiatives
Shreya Gupta, Ranit Banik and Sanchita Ghosh