Understand how Gen AI is different from other tech innovations and what you can do to harness its power.
This book argues that Gen AI represents a genuine paradigm shift in technological innovation. The authors, the same team behind the popular podcast ‘Mike & Amit Talk Tech’, combine academic rigor with practical business insights, incorporating perspectives from diverse industry experts and their own hands-on experience teaching with, and using, Gen AI. They maintain an optimistic yet balanced view, acknowledging both opportunities and risks.
The book’s structure progresses logically through several key areas: fundamental explanations of Gen AI and its distinctiveness from legacy AI systems; value propositions at individual, organizational, and societal levels; potential risks and challenges; practical implementation guidance for organizations through a digital and AI model; and future trajectories of the technology.
Notable is the authors’ focus on near-term, actionable insights rather than speculative long-term scenarios. They emphasize empirical evidence and real-world applications, making the content accessible to a broad audience including executives, policymakers, researchers, and general readers interested in understanding Gen AI’s impact on individuals, businesses, and society.
A propos de l’auteur
Amit Joshi, Professor of AI, Analytics and Marketing Strategy at IMD, specializes in helping organizations develop and use AI capabilities to create value. An award-winning professor and researcher, he has extensive experience of AI and analytics driven transformations in industries such as banking, fintech, retail, services, automotive, telecoms and pharma. He is the co-author of GAIN: Demystifying Gen AI for office and home.He also advises start-ups on their strategies. At IMD, he is Director of the Executive Certificate in Digital Excellence and the Business Analytics for Leaders (BAL) open program. He is also Co-Director of the Generative Artificial for Business Sprint (GABS) and the AI Strategy and Implementation (AISI) programs. He was voted favourite professor of the MBA Class of 2024, featured in Poets & Quants.Amit’s research, which focuses on long-run marketing strategy, analytics and AI and Gen AI applications, has been published in top journals, including the Journal of Marketing, Marketing Science, Journal of Consumer Culture, the Journal of the Academy of Marketing Science, California Management Review, Harvard Business Review and MIT Sloan Management Review. He has twice won the MSI/H. Paul Root Award for the best paper in the Journal of Marketing and the Robert D. Buzzell Best Paper Award for the Marketing Science Institute publication with the most long-term impact. His work and thought leadership have frequently been cited in the media and have been covered by outlets including NPR, CNN, CNBC, NBC, Nikkei, the Financial Times, South China Morning Post, Rediff, Fast Company, Business Standard, Fox News, Bloomberg, Forbes, Le Temps, Investor Relations Magazine, The Conversation and Science Daily. He is frequently invited to give keynote speeches, including at the World Economic Forum in Davos.
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