Harper Business
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines
Key Metrics
- Thomas H Davenport
- Harper Business
- Hardcover
- 9780062438614
- 9.1 X 6.3 X 1.2 inches
- 1.2 pounds
- Business & Economics > Labor - General
- English
Secure TransactionBook Description
An invigorating, thought-provoking, and positive look at the rise of automation that explores how professionals across industries can find sustainable careers in the near future.
Nearly half of all working Americans could risk losing their jobs because of technology. It's not only blue-collar jobs at stake. Millions of educated knowledge workers--writers, paralegals, assistants, medical technicians--are threatened by accelerating advances in artificial intelligence.
The industrial revolution shifted workers from farms to factories. In the first era of automation, machines relieved humans of manually exhausting work. Today, Era Two of automation continues to wash across the entire services-based economy that has replaced jobs in agriculture and manufacturing. Era Three, and the rise of AI, is dawning. Smart computers are demonstrating they are capable of making better decisions than humans. Brilliant technologies can now decide, learn, predict, and even comprehend much faster and more accurately than the human brain, and their progress is accelerating. Where will this leave lawyers, nurses, teachers, and editors?
In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era. The choice is ours.
Author Bio
Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College, co-founder of the International Institute for Analytics, Fellow at the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte Analytics. He teaches analytics/big data in executive programs at Babson, Harvard Business School and School of Public Health, and MIT Sloan School.
Davenport pioneered the concept of competing on analytics with his best-selling 2006 Harvard Business Review article and 2007 book. His most recent book is The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. He wrote or edited nineteen other books and over 200 articles for Harvard Business Review, Sloan Management Review, The Financial Times, and many other publications. He is a regular contributor to the Wall Street Journal and Forbes. He has been named one of the top 25 consultants by Consulting News, one of the 100 most influential people in the IT industry by Ziff-Davis, and one of the world's top fifty business school professors by Fortune magazine.
Source: Babson College
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