Cover art for HBR's 10 Must Reads on AI
Published
Harvard Business Review Press, December 2023
ISBN
9781647825843
Format
Softcover, 176 pages
Dimensions
21cm × 14cm

HBR's 10 Must Reads on AI

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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 organisation.

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.

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