Indian Institute of Management Udaipur Library

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On AI.

Contributor(s): Harvard Business Review Press [publisher.].
Material type: materialTypeLabelBookSeries: HBR's 10 must reads (Series): Publisher: Boston, Massachusetts : Harvard Business Review Press, [2023]Copyright date: ©2023Description: pages cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781647825843.Other title: HBR's 10 must reads on AI | AI.Uniform titles: On AI (Harvard Business Review Press) Subject(s): Industrial management -- Data processing | Artificial intelligence | Robots, IndustrialDDC classification: 658/.0563
Contents:
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 Ascara, 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.
Summary: "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"-- Provided by publisher.
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Includes index.

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 Ascara, 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.

"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"-- Provided by publisher.

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