Free shipping on orders over $99
HBR's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

HBR's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

by Thomas H. DavenportMarco Iansiti Tsedal Neeley and others
Hardback
Publication Date: 05/12/2023

Share This Book:

RRP  $89.99

RRP means 'Recommended Retail Price' and is the price our supplier recommends to retailers that the product be offered for sale. It does not necessarily mean the product has been offered or sold at the RRP by us or anyone else.

$88.25
or 4 easy payments of $22.06 with
afterpay
    Please Note: We will source your item through a special order. Generally sent within 120 days.

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 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
  • 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.

HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

ISBN:
9781647825867
9781647825867
Category:
Human-computer interaction
Format:
Hardback
Publication Date:
05-12-2023
Language:
English
Publisher:
Harvard Business Review Press
Country of origin:
United States
Tsedal Neeley

Tsedal Neeley is the Naylor Fitzhugh Professor of Business Administration at Harvard Business School and an award-winning scholar, teacher, and expert on virtual and global work. Recognized by Business Insider as one of the 100 people transforming business by innovating, sparking trends, and tackling global challenges, she regularly advises top leaders embarking on virtual work and large-scale change that involves global expansion, digital transformation, and becoming more agile. Neeley is the author of Remote Work Revolution and the award-winning The Language of Global Success. She serves on the boards of Brightcove, Brown Capital Management, Harvard Business Publishing, and the Partnership, Inc. She is also on the advisory board of the People & Culture Lab at Rakuten. Neeley's work has been featured on the BBC, CNN, NPR, on MarketWatch, and in Forbes, the Financial Times, the New York Times, the Nikkei, the Wall Street Journal, the Economist, and many other outlets.

Ajay Agrawal

Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management. He is also cofounder of The Next 36 and Next AI, cofounder of the AI/robotics company Kindred, and founder of the Creative Destruction Lab. Ajay conducts research on technology strategy, science policy, entrepreneurial finance, and the geography of innovation.

Our overseas supplier has this title on order. You can place a backorder for this title now and we will ship it to you when it becomes available. 

While we are unable to provide a delivery estimate, most backorders will be delivered within 120 days. If we are informed by our supplier that the title is no longer available during this time, we will cancel and refund you for this item.  Likewise, if no delivery estimate has been provided within 120 days, we will contact our supplier for an update.  If there is still no delivery estimate we will then cancel the item and provided you with a refund.

If we are able to secure you a copy of the title, our supplier will despatch it to our Sydney warehouse.  Once received we make sure it is in perfect condition and then despatch it to you via the Australia Post eParcel service, which includes online tracking.  You will receive a shipping notice from us when this occurs.

Reviews

Be the first to review HBR's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal.