Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb) - (Paperback)

About the Book

"If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand what's happening, look ahead to what's possible, and bring your AI efforts to scale. This book will inspire you to: develop your next AI strategy; seize the potential of natural language processing; prepare for jobs and industries to be transformed; help people and machines work together; prepare for the regulation of AI; develop algorithms for sales and marketing; stop tinkering with AI and go all in"--

Book Synopsis

The next generation of AI is here--use it to lead your business forward.

If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

This book will inspire you to:

• Create a new AI strategy
• Learn to work with intelligent robots
• Get more from your marketing AI
• Be ready for ethical and regulatory challenges
• Understand how generative AI is game changing
• Stop tinkering with AI and go all in

This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; "Why You Need an AI Ethics Committee," by Reid Blackman; "Robots Need Us More Than We Need Them," by H. James Wilson and Paul R. Daugherty; "Stop Tinkering with AI," by Thomas H. Davenport and Nitin Mittal; and "ChatGPT Is a Tipping Point for AI," by Ethan Mollick.

HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

About the Author

Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 12 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact.

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