Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management. He is also cofounder of The Next 36 and Next AI, cofounder of the AI/robotics company Kindred, and founder of the Creative Destruction Lab. Ajay conducts research on technology strategy, science policy, entrepreneurial finance, and the geography of innovation.
Joshua Gans is Professor of Strategic Management and the holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Toronto's Rotman School of Management. Gans is a frequent contributor to outlets like the New York Times, Harvard Business Review, Forbes, Slate, and the Financial Times. Joshua also writes regularly at several blogs including Digitopoly.
Avi Goldfarb is the Ellison Professor of Marketing at Toronto's Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, a Fellow at Behavioral Economics in Action at Rotman, and a Research Associate at the National Bureau of Economic Research. His research has been widely covered in the popular press.
发表于2024-11-21
Prediction Machines 2024 pdf epub mobi 电子书
相对于人工智能而言,人类的问题,除了感知过于灵敏,恐怕还有因为种种自身的原因限制所以容易“反馈的不及时”吧。所以,尽管各类还处在开放状态中的人工智能至今依旧存在许多问题和困境,其中也有了AlphaGo成功地击败了人类最优秀棋手的例子。更多的人则是在这个容易焦虑的时...
评分人工智能是很聪明,但他不会主动创造。他是被动的一个程序。现在他是前沿的,但没有人类的推进,他只会停滞不前。 我们不是没经历过这种被取代人工的恐慌。当机器的面世,很多人工逐渐被机器所取代,就像是以前看的《方世玉与苗翠花》。里面机器代替人工,可以更快速更高效率的...
评分 评分从经济学的角度谈AI应该从何谈起?没有分析投入产出比,没有分析AI对经济学运作模式的颠覆和改变,也没有AI的经济学模型,只不过是几位经济学家对AI的思考。 当然还是非常有独到的观点和启发的,首先是关于人工智能现阶段的本质,作者提出的是预测,在人工智能沉寂30年后本轮趋...
图书标签: 经济学 人工智能 AI 科技 预测 管理 科技商业 深度学习
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google
Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
When AI is framed as cheap prediction, its extraordinary potential becomes clear:
- Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions.
- Prediction tools increase productivity--operating machines, handling documents, communicating with customers.
- Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.
Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
经济学家在tech究竟有什么贡献呢。。觉得需要体验一下才知道了。目前觉得添乱比贡献多。。
评分Cheap predictions for decision making and strategic adjustment under uncertainty & to increase productivity (automation)
评分这本书完全不是给经济学人写的,常常提到的是如果你的公司想用ai应该什么时候用,怎样用。一半弃,对我来说没大有收获。
评分就像北京雾霾天下的阳光,朦朦胧胧的,不知道是有还是没有
评分就像北京雾霾天下的阳光,朦朦胧胧的,不知道是有还是没有
Prediction Machines 2024 pdf epub mobi 电子书