Artificial Intelligence: The Insights You Need from Harvard Business Review

by Harvard Business Review, Thomas H. Davenport, Erik Brynjolfsson, Andrew McAfee, H. James Wilson

Overview

Companies that don't use AI will soon be obsolete.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?

Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

Business is changing. Will you adapt or be left behind?
Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

Product Details

ISBN-13:	9781633697898
Publisher:	Harvard Business Review Press
Publication date:	09/17/2019
Series:	HBR Insights Series
Pages:	192
Sales rank:	390,040
Product dimensions:	5.40(w) x 8.20(h) x 0.70(d)

About the Author

Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 12 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact. Visit hbr.org. Follow @HarvardBiz on Twitter; find us on Facebook and LinkedIn.

Author social media/website info: Twitter: @HarvardBiz; hbr.org; Facebook: @HBR; Instagram: @harvard_business_review

Table of Contents

Introduction

The State of Al in Business xi

It's still early, but the revolution is coming Thomas H. Davenport

Section 1 Understanding Al and Machine Learning

1 The Business of Artificial Intelligence 3

What it can-and cannot-do for your organization Erik Brynjolfsson Andrew McAfee

2 Inside Facebook's Al Workshop 29

At the social network behemoth, machine learning has become a platform for the platform Joaquin Candela Scott Berinato

3 Why Companies That Wait to Adopt Al May Never Catch Up 53

The "fast follower" strategy wont work Vikram Mahidhar Thomas H. Davenport

Section 2 Adopting Al

4 Three Questions About Al That Nontechnical Employees Should Be Able to Answer 65

How does it work, what is it good at, and what should it never do? Emma Martinho-Truswell

5 Is Your Company's Data Actually Valuable in the Al Era? 73

The problem with "data is the new oil." Ajay Agrawal Joshua Gans Avi Goldfarb

6 How to Choose Your First Al Project 79

Pick a quick win to build internal support Andrew Ng

7 What Will Happen When Your Company's Algorithms Go Wrong? 89

You need to have a plan Roman V. Yampoiskiy

Section 3 Al and the Future of Work

8 How Will Al Change Work? Here Are Five Schools of Thought 99

In some versions, society will fundamentally change Mark Knickrehm

9 Collaborative Intelligence: Humans and Al Are Joining Forces 109

Humans and machines can enhance each other's strengths H. James Wilson Paul Daugherty

Section 4 The Future of Al

10 Three Ways Al Is Getting More Emotional 137

As we spend more time with our devices, we emit more data to be analyzed Sophie Kleber

11 How Al Will Change Strategy: A Thought Experiment 145

E-commerce could move from shopping-then-shipping to shipping-then-shopping Ajay Agrawal Joshua Gans Avi Goldfarb

12 The Future of Al Will Be About Less Data, Not More 153

We need computers with some common sense H. James Wilson Paul Daugherty Chase Davenport

About the Contributors 163

Index 169