Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning b

<p><b>The next generation of AI is here-use it to lead your business forward.</b></p><p>If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of <b><i>Harvard Business Review</i></b> 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.</p><p>This book will inspire you to: </p><ul><li>Create a new AI strategy</li><li>Learn to work with intelligent robots</li><li>Get more from your marketing AI</li><li>Be ready for ethical and regulatory challenges</li><li>Understand how generative AI is game changing</li><li>Stop tinkering with AI and go all in</li></ul><p></p><p>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