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.
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Thomas H. Davenport is the President’s Distinguished Professor in Management and Information Technology at Babson College, the cofounder of the International Institute for Analytics, a fellow of the MIT Initiative on the Digital Economy, and a senior advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University, and is the author or coauthor of seventeen books.
Julia Kirby is a senior editor at Harvard University Press and a contributing editor for Harvard Business Review. She is the coauthor of Standing on the Sun: How the Explosion of Capitalism Abroad Will Change Business Everywhere.
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 risk losing their jobs because of technology. It’s not only blue-collar jobs at stake. Millions of educated “knowledge” workers—journalists, lawyers, doctors, marketers—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, replacing jobs in agriculture and manufacturing. Now Era Three, the rise of “cognitive computing,” is dawning. Smart computers are demonstrating they are capable of making better decisions than humans. Brilliant technologies can now learn, predict, decide, and even comprehend much faster and more accurately than the human brain, and their progress is accelerating. Where will this leave financial advisors, scientists, teachers, and other professionals?
In Only Humans Need Apply, Thomas H. 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 must see them as partners and collaborators in creative problem solving as we move into the next era. The choice is ours.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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