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Thư mục - Vốn tư liệu

Prediction machines : the simple economics of artificial intelligence

Agrawal, Ajay

Harvard Business Review Press,2018ISBN: 9781633695672

Boston, Massachusetts :x, 250 p. : ill. ; 25 cm.English

Artificial intelligence Decision making Forecasting Phương pháp thống kê Kinh tế Thống kê Dự báo AI

Mô tả biểu ghi

ID:56637

DDC	658.0563
Tác giả CN	Agrawal, Ajay
Nhan đề	Prediction machines : the simple economics of artificial intelligence / Ajay Agrawal, Joshua Gans, Avi Goldfarb.
Thông tin xuất bản	Boston, Massachusetts : Harvard Business Review Press,2018
Mô tả vật lý	x, 250 p. : ill. ; 25 cm.
Phụ chú	Sách quỹ Châu Á
Tóm tắt	The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities
Thuật ngữ chủ đề	Artificial intelligence-Economic aspects
Thuật ngữ chủ đề	Decision making-Statistical methods
Thuật ngữ chủ đề	Forecasting-Statistical methods
Từ khóa tự do	Phương pháp thống kê
Từ khóa tự do	Kinh tế
Từ khóa tự do	Decision making
Từ khóa tự do	Thống kê
Từ khóa tự do	Dự báo
Từ khóa tự do	AI
Tác giả(bs) CN	Gans, Joshua
Tác giả(bs) CN	Goldfarb, Avi
Địa chỉ	100TK_Tiếng Anh-AN(5): 000113616-7, 000117195-6, 000123822
Tệp tin điện tử	http://lib.hanu.vn/kiposdata1/bookcover/anh/000123822thumbimage.jpg

MARC

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100	[1 ] \|a Agrawal, Ajay
245	[1 0] \|a Prediction machines : \|b the simple economics of artificial intelligence / \|c Ajay Agrawal, Joshua Gans, Avi Goldfarb.
260	[ ] \|a Boston, Massachusetts : \|b Harvard Business Review Press, \|c 2018
300	[ ] \|a x, 250 p. : \|b ill. ; \|c 25 cm.
500	[ ] \|a Sách quỹ Châu Á
520	[ ] \|a The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities
650	[1 0] \|a Artificial intelligence \|x Economic aspects
650	[1 0] \|a Decision making \|x Statistical methods
650	[1 0] \|a Forecasting \|x Statistical methods
653	[0 ] \|a Phương pháp thống kê
653	[0 ] \|a Kinh tế
653	[0 ] \|a Decision making
653	[0 ] \|a Thống kê
653	[0 ] \|a Dự báo
653	[0 ] \|a AI
700	[1 ] \|a Gans, Joshua
700	[1 ] \|a Goldfarb, Avi
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Dòng	Mã vạch	Bản sao	Nơi lưu
1	000123822	5	TK_Tiếng Anh-AN
#1 000123822 Nơi lưu TK_Tiếng Anh-AN Tình trạng
2	000117196	4	TK_Tiếng Anh-AN
#2 000117196 Nơi lưu TK_Tiếng Anh-AN Tình trạng
3	000117195	3	TK_Tiếng Anh-AN
#3 000117195 Nơi lưu TK_Tiếng Anh-AN Tình trạng
4	000113617	2	TK_Tiếng Anh-AN
#4 000113617 Nơi lưu TK_Tiếng Anh-AN Tình trạng
5	000113616	1	TK_Tiếng Anh-AN
#5 000113616 Nơi lưu TK_Tiếng Anh-AN Tình trạng