HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)
- 4h 58m 35s
- Harvard Business Review
- Gildan Media
- 2023
The next generation of AI is here—use it to lead your business forward.
If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten 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, and 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; and more.
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.
In this Audiobook
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Chapter 1 - Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani
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Chapter 2 - How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and Avi Goldfarb
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Chapter 3 - Developing a Digital Mindset by Tsedal Neeley and Paul Leonardi
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Chapter 4 - Learning to Work with Intelligent Machines by Matt Beane
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Chapter 5 - Getting AI to Scale by Tim Fountaine, Brian McCarthy, and Tamim Saleh
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Chapter 6 - Why You Aren’t Getting More from Your Marketing AI by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie
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Chapter 7 - The Pitfalls of Pricing Algorithms by Marco Bertini and Oded Koenigsberg
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Chapter 8 - A Smarter Strategy for Using Robots by Ben Armstrong and Julie Shah
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Chapter 9 - Why You Need an AI Ethics Committee by Reid Blackman
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Chapter 10 - Robots Need Us More Than We Need Them by H. James Wilson and Paul R. Daugherty
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Chapter 11 - Stop Tinkering with AI by Thomas H. Davenport and Nitin Mittal
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Chapter 12 - ChatGPT Is a Tipping Point for AI by Ethan Mollick
