HBR's 10 must reads on AI
On AI AI
- viii, 151 pages : illustrations ; 22 cm
- HBR's 10 must reads .
- HBR's 10 must reads series .
Includes index.
Competing in the Age of AI / How to Win with Machine Learning / Developing a Digital Mindset / Learning to Work with Intelligent Machines / Getting AI to Scale / Why You Aren't Getting More from Your Marketing AI / The Pitfalls of Pricing Algorithms / A Smarter Strategy for Using Robots / Why You Need an AI Ethics Committee / Robots Need Us More Than We Need Them / Stop Tinkering with AI / by Marco Iansiti and Karim R. Lakhani -- by Ajay Agrawal, Joshua Gans, and Avi Goldfarb -- by Tsedal Neeley and Paul Leonardi -- by Matt Beane -- by Tim Fountaine, Brian McCarthy, and Tamim Saleh -- by Eva Ascara, Michael Ross, and Bruce G.S. Hardie -- by Marco Bertini and Oded Koenigsberg -- by Ben Armstrong and Julie Shah -- by Reid Blackman -- by H. James Wilson and Paul R. Daugherty -- by Thomas H. Davenport and Nitin Mittal.
"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"--
9781647825843 (paperback) 1647825849 (paperback)
2023014340
Industrial management--Data processing. Administración industrial --Procesamiento de datos Artificial intelligence. Inteligencia artificial Robots, Industrial. Robótica Robótica --Aplicaciones científicas