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Book Details Title: Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Author: Marco Iansiti Number of pages: Publisher: Harvard Business Review Press (January 7, 2020) Language: English ISBN: 1633697622 Rating: 5     36 reviews

Book Description Review Named one of 16 New Business Books You Need to Read in 2020 by Inc. magazineAdvance Praise for Competing in the Age of AI:”Iansiti and Lakhani have written an important book that explains what’s required to rethink the firm and become an AI-first company. Anyone interested in the impact of AI should read this book.” — Satya Nadella, CEO, Microsoft“With the rise of our digital economy and artificial intelligence, the landscape of disruption is shifting in remarkable ways. Competing in the Age of AI is a compelling and mandatory read for leaders hoping to survive in the new world of business.” — Clayton Christensen, Kim B. Clark Professor of Business Administration, Harvard Business School; author, Wall Street Journal and >Businessweek bestseller The Innovator’s Dilemma“Competing in the Age of AI captures the essence of trends we’re seeing across the business landscape: If you’re not leveraging AI and machine learning to guide real-time decision making, you’re on the precipice of disruption from competitors who are.” — Dave Munichiello, General Partner, GV (formerly Google Ventures)“The ethical and business implications of AI are gradually revealing themselves as more and more AIs are plucked from research labs and deployed in the wild. Iansiti and Lakhani’s book is a great foundation for any business professional who hopes to succeed in this evolving environment.” — Tim Brady, Partner, Y Combinator“This book provides insight into working more effectively with AI experts and better equips executives to make important decisions in their AI journeys.” — Abidali Neemuchwala, CEO and Managing Director, Wipro Limited“Competing in the Age of AI provides a road map to some of today’s most important business changes driven by technological advances.” — Heidi Keefe, Partner, Cooley LLP“Competing in the Age of AI is important reading for entrepreneurs, investors, and leaders of all companies who hope to maintain and accelerate technological leadership.” — Jim Breyer, founder and CEO, Breyer Capital; former Member of the Board, Facebook and Walmart“Iansiti and Lakhani do a terrific job of avoiding buzzword pitfalls and focusing on practical advice on what AI can, and cannot, do to augment any business’s competitive strategy.” — Matthew Prince, cofounder and CEO, Cloudflare Read more About the Author Marco Iansiti, the David Sarnoff Professor of Business Administration at Harvard Business School, also heads the school’s Technology and Operations Management Unit and the Digital Initiative. Iansiti is an expert on digital innovation, with a special focus on strategy and business and operating model transformation. He advises Global 1000 companies on digital strategy and transformation and has conducted research on a variety of organizations, including Microsoft, Facebook, IBM, Amazon, Alibaba, and Google, among many others. He is the author of several books, including, with Roy Levien, The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability and One Strategy: Organization, Planning, and Decision Making, with Steven Sinofsky. He has authored more than 100 articles, cases, and notes, including “The Ecology of Strategy” (with Roy Levien) and “Digital Ubiquity,” “Managing Our Hub Economy,” and “The Truth About Blockchain” (with Karim Lakhani). Each was published in Harvard Business Review and selected as one of the top ten articles of the year.Karim R. Lakhani is the Charles E. Wilson Professor of Business Administration and the Dorothy and Michael Hintze Fellow at Harvard Business School. He is the founder and codirector of the Laboratory for Innovation Science at Harvard, the principal investigator of the NASA Tournament Laboratory at the Harvard Institute for Quantitative Social Science, and the faculty cofounder of the Digital Initiative at HBS. He is also Chair of the Harvard Business Analytics Program. He specializes in technology management and innovation. He is a coeditor of the books Revolutionizing Innovation: Users, Communities, and Open Innovation and Perspectives on Free and Open Source Software and the author of over 100 articles and case studies on the emerging digital economy and the changing nature of work and companies. His research has been featured in BusinessWeek, the Boston Globe, the Economist, Fast Company, Inc. magazine, the New York Times, the New York Academy of Sciences Magazine, Science, the Wall Street Journal, the Washington Post, and Wired.You can visit the authors at:Ageof.AIMarco Iansiti: twitter.com/marcoiansiti, linkedin.com/in/marcoiansiti/Karim R. Lakhani: twitter.com/klakhani, linkedin.com/in/ProfessorKL/ Read more Customers Review: Karim and Marco persuasively argue that everything is different in the age of AI. Fortunately, they also provide beautiful roadmaps for how to navigate and thrive in this new world. For everyone contemplating how to optimize machine learning, this is a must read. This book gives a very interesting big picture perspective on AI and machine learning in organizations. The authors are trying to provide a satisfactory framework for understanding the digital transformation that is occurring worldwide. I found they really cut through a lot of the fog and hype surrounding this topic. It is extremely easy to exaggerate what we are seeing, but as the authors point out, there is something like an “exponential process” engaging here. They give some balanced pictures on what all this means, and try to expose both the challenges and opportunities. Obviously, the tech revolution, even the weak AI we are seeing, is proving to be in some ways, a process that, as the authors discuss, scales with marginal cost and increased complexity of practically zero. This they contrast well to the situation of the traditional firm, even highly successful tech companies. The path, they suggest, to the new digital world is in some ways to the “top of the food chain” in the world economic ecosystem. The obstacles to growth to that stage, to the mature “T Rex”, say, are significant, and this new entry, when more than a juvenile in the ecosystem, is in itself, substantially poised to alter much. I was much helped, in particular, in reading this book, by the discussion of network connections, and hubs. But I think the authors display a level of insight that goes quite a bit beyond that tool. I recommend this book very strongly for its truly excellent perspective, in an environment which is subject to significant distortions and misinformation. It seems to be giving a fairly realistic picture about what the next twenty or thirty years entail, and the rather large uncertainties, while maintaining overall a fairly positive outlook. This book stands out from other literature on AI because it challenges you to rethink the very core of your strategy and values. Prof Lakhani and Iansiti combine their interesting narrative (including historical lessons) with data. But then many books talk about the potential of AI and how its going to change the world . What makes this book unique and valuable (therefore the 5 stars) are the insights offered for business leaders such as AI factory and the new meta. They make it clear that engineering feats alone are not enough. The culture and ethics are critical to break the traditional constraints on thinking and capturing/delivering values.Many leaders are struggling with how to leverage AI because of the hype, technical jargon and much more. If you want your leaders to have realistic handle on AI share this book with them . My advice: give this book to your C-suite – it will change the way they think about AI. At first, I regretted buying this book. The fact that it’s written by two authors rather than one should have tipped me off. For anyone like me, who regularly reads current business magazines and books, this book at first seemed to have little that is new.But after wading through the first couple of chapters of same old, same old, I did start finding many interesting and useful insights, some profound. This is an extremely intriguing and thought provoking book as we continue the transformation of our company into the world of AI and Machine Learning. The book is A “must read” for any executive working on the strategic transformation of their company – highly recommended and absolutely worthy of 5 stars The book gives practical examples and provokes one to think of ways in which AI (particularly Weak AI as defined in the book) is already enabling firms to disrupt industries from fintech to transportation. This isn’t about scary AI that is going to take over the world like Skynet, but rather lays out a framework for any company to develop a Weak AI factory to outperform competitors. Perhaps most importantly, it discusses how proficiency in establishing an AI factory is rather industry agnostic and therefor enables firms to compete in new markets. If you are a senior leader or aspire to be one, this book is definitely worthy of your time. AI – artificial intelligence – is on everybody’s mind. The mantra is that yo need to define AI as priority #1. This book delivers on the whys and hows and what is – a neccesity in order to get your head and hands around AI-implementation. The writing style is elegant with numerous business examples and elegant illustrations. I have recommended the book to my board of directors as mandatory reading. My «buisness» is a scientific research organization within a business school focusing AI As part of our curiculum. . Outstanding with a lot of real examples