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Chapter Page
Introduction
The State of Al in Business xi
It's still early, but the revolution is coming
by 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
by Andrew McAfee
2. Inside Facebook's Al Workshop 29
At the social network behemoth, machine learning has become a platform for the platform
by Scott Berinato
3. Why Companies That Wait to Adopt Al May Never Catch Up 53
The "fast follower" strategy wont work
by 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?
by Emma Martinho-Truswell
5. Is Your Company's Data Actually Valuable in the Al Era? 73
The problem with "data is the new oil."
by Avi Goldfarb
6. How to Choose Your First Al Project 79
Pick a quick win to build internal support
by Andrew Ng
7. What Will Happen When Your Company's Algorithms Go Wrong? 89
You need to have a plan
by 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
by Mark Knickrehm
9. Collaborative Intelligence: Humans and Al Are Joining Forces 109
Humans and machines can enhance each other's strengths
by 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
by Sophie Kleber
11. How Al Will Change Strategy: A Thought Experiment 145
E-commerce could move from shopping-then-shipping to shipping-then-shopping
by Avi Goldfarb
12. The Future of Al Will Be About Less Data, Not More 153
We need computers with some common sense
by Chase Davenport
About the Contributors 163
Index 169

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