- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
This book offers a comprehensive guide to navigating the transformation of the workforce due to AI's influence across industries and discusses detailed strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape. As AI continues to reshape sectors and redefine job roles, the need for a strategy for an adaptable and well-equipped workforce has never been more critical. By analysing AI's integration with other emerging technologies, like blockchain and IoT, and their specific impact across sectors, this book prepares readers to meet the unique demands of an AI-driven Workforce Transformation.
Covers strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape
Provides actionable insight with a global outlook and offering customised approaches for workforce transformation in key sectors like healthcare, manufacturing, and finance
Acknowledging the distinct challenges and opportunities across geographies, it includes in-depth case studies from both developed and emerging economies to showcase diverse workforce adaptation strategies
Emphasises ethical considerations, such as data privacy and AI bias, as well as the crucial role of leadership in driving a workforce prepared for AI disruptions
Offers a forward-looking approach to developing resilient, adaptable workers equipped for continuous learning and responsive to rapid technological advances
This professional text is for business professionals, leaders, workforce development professionals, scholars and academics aiming to thrive in an AI-driven economy.
Contents
Chapter 1: The AI Revolution: Understanding Its Impact on the Workforce Chapter 2. The Foundations of Reskilling and Upskilling Chapter 3. Identifying Skills for the Future Chapter 4. Designing Effective Reskilling Programs CHAPTER 5 Upskilling: Enhancing Existing Capabilities Chapter 6: The Role of AI in Personalized Learning Chapter 7. Sector-Specific Approaches to Reskilling and Upskilling Chapter 8. Global Strategies for Reskilling and Upskilling in the Age of AI Chapter 9: Technological Convergence: AI and Emerging Technologies in Workforce Development Chapter 10. Leadership In The Age Of AI: Guiding Workforce Transformation Chapter 11. Measuring Success: Evaluating the Impact of Reskilling and Upskilling Chapter 12. Preparing for the future: long-term strategies for workforce resilience
