Prediction Machines : The Simple Economics of Artificial Intelligence (Updated and Expanded Ed.) | 誠品線上

AI經濟的策略思維: 善用人工智慧的預測威力, 做出最佳商業決策

內容簡介

內容簡介 到底該如何應用AI、找出創造新價值的機會？了解人工智慧最強大的力量，就在預測，用經濟學的分析架構，設計出最佳的策略選擇！「AI 對你的企業有什麼意義？看這本書就知道。」－－Google首席經濟學家哈爾．韋瑞安自動駕駛、物體辨識、語言翻譯、詐騙偵測…AI的應用正快速滲入每一個領域，人工智慧大普及的時代即將來臨。但是，能夠利用AI脫穎而出的企業屈指可數。AI科技對企業到底有什麼影響？備受科技界與決策領導人推崇的多倫多大學羅特曼管理學院的三位教授艾格拉瓦、格恩斯、高德法布，是專門研究科技影響的經濟學家。在本書中，他們解答經理人該如何思考AI影響的各種問題。●對企業來說，AI到底是什麼？AI是預測的科技，而預測是決策的生產要素。●AI的關鍵影響是什麼？AI的重大經濟意義，就是使得預測變得更便宜。可以被人工智慧預測取代的都會貶值；與人工智慧預測互補的都會升值。未來無可取代的就是資料與判斷。●當預測便宜到人人可以負擔，企業的工作流程、事業規模與範圍、商業模式、策略選擇全都會改變。三位教授發展出一套評量AI策略的AI Canvas，用輸入、預測、訓練、判斷、行動、結果、回饋這七個面向，幫助企業回答：1. 什麼樣的預測對你的事業很重要？AI的發展會如何改變你倚重的預測？2. 如何重新配置工作，AI與人類該如何合作？3. 在工作流程中，哪些AI工具的投資報酬率最高？4. 如何判斷推出AI產品的時機與對企業的衝擊？每一個選擇，都是社會資源重分配的取捨。在本書中，艾格拉瓦等三位教授也探討大家普遍對AI的擔憂，包括：人類工作即將終結嗎？貧富不均是否將更惡化？幾家超級企業將贏者通吃？AI是這個世代最具變革力的科技。了解AI 的本質與經濟意涵，才能準確評估AI的潛力，真正善用AI的預測能力，做出最好的決策。本中文書介出自《AI經濟的策略思維: 善用人工智慧的預測威力, 做出最佳商業決策》天下雜誌股份有限公司出版Named one of ""The five best books to understand AI"" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings 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 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 masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear:Prediction is at the heart of making decisions amid 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 strategies to compete.The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon."

作者介紹

作者介紹 Ajay AgrawalAjay Agrawal is Professor of Strategic Management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto’s Rotman School of Management. He is founder of the Creative Destruction Lab and the Metaverse Mind Lab and cofounder of NEXT Canada and Sanctuary.Joshua GansJoshua Gans is the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship and Professor of Strategic Management at Toronto’s Rotman School of Management. He is Chief Economist of the Creative Destruction Lab, department editor (Strategy) at Management Science, and cofounder and managing director of Core Economic Research.Avi GoldfarbAvi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing at Toronto’s Rotman School of Management. He is also Chief Data Scientist at the Creative Destruction Lab, a fellow at Behavioral Economics in Action at Rotman, and a faculty affiliate at the Vector Institute for Artificial Intelligence.

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