Artificial intelligence : the insights you need from Harvard Business Review.

Boston, Massachusetts : Harvard Business Review Press, [2019]
xvi, 176 pages ; 21 cm.
Insights you need from Harvard Business Review
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Standardized Title:
Artificial intelligence (Harvard Business Review Press)
Artificial intelligence.
Artificial intelligence -- Industrial applications.
Technological innovations -- Economic aspects.
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.-- Provided by publisher.
Section 1. Understanding AI and machine learning: The business of artificial intelligence: what it can
and cannot
do for your organization / Erik Brynjolfsson and Andrew McAfee
Inside facebook's AI workshop: at the social network behemoth, machine learning has become a platform for the platform, an interview with Joaquin Candela by Scott Berinato
Why companies that wait to adopt AI may never catch up: the "fast follower" strategy won't work / Vikram Mahidhar and Thomas H. Davenport
Section 2. Adopting AI: 3 questions about AI that nontechnical employees should be able to answer: how does it work, what is it good at, and what should it never do? / Emma Martinho-Truswell
Is your company's data actually valuable in the AI era?: the problem with "data is the new oil." / Ajay Agrwawal, Joshua Gans, and Avi Goldfarb
How to choose your first AI project: pick a quick win to build internal support / Andrew Ng
How Harley-Davidson used artificial intelligence to increase New York sales leads by 2,930%: and it led to more revenue and more jobs / Brad Power
What will happen when your company's algorithms go wrong?: you need to have a plan / Roman V. Yampolskiy
Section 3. AI and the future of work: How will AI change work?: here are 5 schools of thought: in some versions, society will fundamentally change / Mark Knickrehm
Collaborative intelligence: humans and AI are joining forces: humans and machines can enhance each other's strengths / H. James Wilson and Paul Daugherty
Section 4. The future of AI: 3 ways AI is getting more emotional: as we spend more time with our devices, we emit more data to be analyzed / Sophie Kleber
How AI will change strategy: a thought experiment: E-commerce could move from shopping-then-shipping to shipping-then-shopping / Ajay Agrwawal, Joshua Gans, and Avi Goldfarb
The future of AI will be about less data, not more: we need computers with some common sense / H. James Wilson, Paul Daugherty, and Chase Davenport.