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Home Surviving and Thriving in the Age of AI: A Handbook for Digital Leaders - Paperback
Surviving and Thriving in the Age of AI: A Handbook for Digital Leaders
  • Artificial Intelligence,
  • Books,
  • Business & Economics,
  • Computers,
  • Information Management,
  • Leadership,

Surviving and Thriving in the Age of AI: A Handbook for Digital Leaders - Paperback

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SKU 9781916749184
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by Alan W. Brown (Author)

The world is experiencing a rapid rise in the use of artificial intelligence, sparking fierce debate about its impact on both business and society. This book cuts through the noise and acts as a guide on how to survive and thrive in the age of AI. By providing an accessible collection of short, practical insights, it offers you a framework for understanding the issues and implications of AI for individuals and organizations in this time of significant digital disruption.

Surviving and Thriving in the Age of AI is specifically designed for busy professionals, leaders and decision makers. It is organized to allow you to gain valuable insights quickly and on demand. Above all, the content is grounded in real-world experience and practical applications within the context of digital transformation, ensuring its relevance to everyone who is embarking on a digital journey. Most importantly, each topic concludes with thought-provoking questions and actionable steps to guide your personal exploration of AI and its implications.

Author Biography

Alan W. Brown is a professor in digital economy, an experienced business executive and a strategic advisor. He has spent more than 30 years in the US, Europe and the UK driving large-scale software-driven programmes with commercial high-tech companies, leading R&D teams, building state-of-the-art solutions and improving software product delivery approaches. He has written several books on enterprise software delivery and digital transformation. He is a fellow of the British Computer Society and recently completed his role as a fellow at the Alan Turing Institute, the UK's national institute for data science and AI.

Number of Pages: 272
Publication Date: September 20, 2024

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