Upskilling for the Age of AI Automation. Cet article n’est pas disponible.
Langue : anglais
Edité par Independently published, 2026
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N° de réf. du vendeur L2-9798898812638
- Titre
- Upskilling for the Age of AI Automation
- Auteur
- Kaushik, Keshav
- Éditeur
- Independently published
- Année de publication
- 2026
- État de l'article
- New
- Reliure
- PAP
- Langue
- anglais
- ISBN à 13 chiffres
- 9798898812638
- Poids de l'article
- 684 grammes
Upskilling for the Age of AI and Automation examines how rapid advances in artificial intelligence, machine learning, and automation are transforming the global workforce. It highlights the growing need for continuous learning and reskilling as traditional job roles evolve and new opportunities emerge in an AI-driven economy.
The book traces the evolution of automation from industrial systems to intelligent technologies, exploring both the opportunities and disruptions they create. It identifies key future-ready skills such as data literacy, problem-solving, creativity, and emotional intelligence, emphasising their role in complementing, rather than competing with, machines. Real-world case studies demonstrate how organisations are adopting AI while supporting workforce development through digital learning and human–machine collaboration.
It also addresses the importance of inclusive upskilling strategies to bridge the digital divide and ensure broad participation in the future economy. Overall, the book provides practical insights for adapting to technological change and building sustainable careers.
Key Features:
-Focuses on workforce transformation in the age of AI and automation.
-Identification of essential future-ready skills and competencies.
-Real-world case studies of AI adoption and workforce development with emphasis on lifelong learning and human–machine collaboration.
-Discussion of inclusive strategies to address the digital divide.
The book traces the evolution of automation from industrial systems to intelligent technologies, exploring both the opportunities and disruptions they create. It identifies key future-ready skills such as data literacy, problem-solving, creativity, and emotional intelligence, emphasising their role in complementing, rather than competing with, machines. Real-world case studies demonstrate how organisations are adopting AI while supporting workforce development through digital learning and human–machine collaboration.
It also addresses the importance of inclusive upskilling strategies to bridge the digital divide and ensure broad participation in the future economy. Overall, the book provides practical insights for adapting to technological change and building sustainable careers.
Key Features:
-Focuses on workforce transformation in the age of AI and automation.
-Identification of essential future-ready skills and competencies.
-Real-world case studies of AI adoption and workforce development with emphasis on lifelong learning and human–machine collaboration.
-Discussion of inclusive strategies to address the digital divide.
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