Prediction Machines 英文原版 預測機器:人工智能的簡單經濟學 Harvard Business Review

基本信息

By (author) A. Agrawal , By (author) * Gans , By (author) Avi Goldfarb

Format Hardback | 256 pages

Dimensions 156 x 235 x 30.48mm | 476.27g

Publication date 17 Apr 2018

Publisher Harvard Business Review Press

Publication City/Country United States

Language English

ISBN10 1633695670

ISBN13 9781633695672

頁面參數僅供參考，具體以實物為準

內容簡介

"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.

“人工智能對您的業務意味著什麼？閲讀本書以瞭解答案。” -Google首席經濟學家Hal Varian，這似乎似乎是不可能的事，神奇地將機器帶入了生活-駕駛汽車，交易股票和教孩子。但是面對AI將帶來的巨變可能會癱瘓。公司應該如何制定戰略，政府制定政策以及人們如何為與我們所知道的世界截然不同的世界規劃生活？面對這樣的不確定性，許多分析師要麼畏縮不前，要麼預測一個不可能的陽光燦爛的未來。

但是在《預測機器》中，三位著名的經濟學家將AI的興起重塑為預測成本的下降。通過這一單一而精湛的技巧，他們拉開了AI魔術般的炒作的序幕，並展示了經濟學的基本工具如何清晰地闡明AI革命以及首席執行官，經理，決策者，投資者和企業家的行動依據。

當將AI視為便宜的預測時，其非凡的潛力就變得顯而易見。預測是在不確定性下做出決策的核心。我們的業務和個人生活充滿了這樣的決定。預測工具可提高生產率-操作機器，處理文檔，與客户溝通。不確定性限制了策略。更好的預測為新的業務結構和戰略競爭創造了機會。

Prediction Machines具穿透性，趣味性，並始終具有洞察力和實用性，它遵循其不可避免的邏輯來解釋如何駕馭地平線上的變化。人工智能的影響將是深遠的，但是理解它的經濟框架非常簡單。

作者簡介

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.

* 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. * 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.

Ajay Agrawal是多倫多大學Rotman管理學院的戰略管理學教授和Peter Munk企業家學教授。他還是Next 36和Next AI的共同創始人，AI /機器人公司Kindred的共同創始人，Creative Destruction Lab的創始人。阿傑（Ajay）從事技術戰略，科學政策，企業融資和創新地理學方面的研究。

約書亞·甘斯（* Gans）是戰略管理學教授，也是多倫多羅特曼管理學院技術創新和企業家精神的傑弗裡·斯科爾（Jeffrey S.Skoll）主席。甘斯經常為《紐約時報》，《哈佛商業評論》，《福布斯》，《石板報》和《金融時報》等網點撰稿。約書亞還定期在包括Digitopoly在內的多個博客中撰文。

Avi Goldfarb是多倫多大學多倫多羅特曼管理學院的市場營銷埃裏森教授。Avi還是Creative Destruction Lab的首席數據科學家，Marketing Science的高級編輯，Rotman的行為經濟學的實務研究員，以及國家經濟研究局的研究助理。他的研究已被大眾媒體廣泛報導。

注意：依據相關條例和法規，本書個別字句、詞條或內容可能存在與中國實情不符或法規相抵觸的情況，已做適當處理，但不影響任何整體閲讀。