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Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part B
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Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part B : Smart Systems and Future Employment in the Age of AI

Book Details

Format Hardback or Cased Book
ISBN-10 1837084335
ISBN-13 9781837084333
Publisher Emerald Publishing Limited
Imprint Emerald Publishing Limited
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 29th, 2025
Print length 192 Pages
Weight 398 grams
Dimensions 23.70 x 15.90 x 1.70 cms
Ksh 13,500.00
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Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part B is a timely collected edition, emerging precisely when the ramifications of AI on the job market are becoming palpable.

In an era defined by unprecedented technological advancements, the intersection of artificial intelligence (AI) and the Smart Systems presents both challenges and opportunities. Rapid advancements in automation, machine learning, and AI-driven technologies are reshaping job roles and creating new avenues for employment. The urgency lies in equipping educators, policymakers, and industry professionals with insights to navigate this transformative period effectively.

The second of two volumes, Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part B is a timely collected edition, emerging precisely when the ramifications of AI on the job market are becoming palpable. Each section of the work explores a unique aspect, covering the foundational role of AI as a catalyst for developing new skills and competencies. It provides insights for higher education institutions, discusses AI as a powerful tool for sharing knowledge, considers policy implications, and examines the emergence of innovative job markets.

The chapters serve as a comprehensive guide for higher education stakeholders, offering actionable insights and strategies to navigate the evolving landscape of AI-influenced job markets. Authors work to bridge the gap between academic theory and real-world application, providing a roadmap for institutions to adapt curricula, teaching methodologies, and policies to meet the demands of the AI-driven future.


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