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Thomas H. Davenport:人工智能优势:如何将人工智能革命付诸实践(英文版)会员免费

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THEAIADVANTAGPHow to Put theArtincial IntelligenceRevolution to WorkThomasH. Davenport

THEAIADVANTAGE

Management on theCuttingEdgePaul Michelman, serieseditorThe AlAdvatage:How to Putthe ArtificialInteligenceRevolation to Work,ThomasH.Davenport

THEAIADVANTAGEHow to Put the Artficial InteligenceRevolution to WorkThomasH.DavenportThe MIT PressCambridge, MassachusettsLondon, England

All ights reserved. No part of this book may be reproduced in any form by anyelectronic or mechanical means including photocopving, recording, or infor-mation storage and retrieval) without permission in writing from the publisher This book was set in Stone Serif by Westchester Publishing Services.Printed andbound in the UnitedStatesofAmerica.Library of Congress Cataloging-in-Publication DataNames:Davenport, Thomas H, 1954 author.Title:The Al advantage: how to put the artificial intelligence revolutionDescriotion:Cambridge. MA: MIT Pres, [2018]|Series: Management on the cutting edge | Includes bibliographical references and indexldentifiers:LCCN2018014665|ISBN9780262039178(hardcover: alk.,paper)Subjects:LCSH: Artificial intelligence-Economicaspects.I Atrtificialintelligence-Industrial apolications.I Technologicalinnovations-Economic aspects,Classification:LCCHC79.155D3692018/DDC658/.0563-d<231Crecondavalabe a htps/lcon.loc,gov/2018014665109876

ContentsSeriesForewordviiPrefaceix1ArtificialIntelligenceComesofAge-Slowly23Alin the Enterprise23WhatAre CompaniesDoingToday?394What'sYourCoanitiveStrateav?61AlTasks, Organizational Structures,996 Jobs and Skll in a World of Smart Machines1297TechnicalApproaches toCognitiveTechnologies149oManaginatheOraanizationalSocial171Notes199Index219

SeriesForewordThe world does not lack for management ideas. Thousands of researchers,practitioners, and otherexperts produce tens of thousands of articles,books, papers, posts, and podcasts each year. But only a scant few promiseto truly move the needle on practice, and fewer still dare to reach intothe future of what management will become. It is this rare breed ofidea-meaningful to practice,grounded in evidence. and built for thefuture-that we seek to present in this seriesPaul MichelmanEditorinchief

PrefaceI've been interested in artificial intelligence for a long time. In 1986tor example, I was head of a technology management research centecalled PRISM (Partnership for Research in Information Svstems Man-agement). Working closely with the late MIT professor and business reengineering guruMichael Hammer,weresearched a variety of topicsthat vear. butIwas particularlv excited about one.Called"Expert Systems:Prospects and Early Development, it addressed the fast-growingarea ofartificial intelligence (AN)-the precursor term for what is often called"cognitive technologies." Expert systems were the AI technology thatmost excited businesses at the time.PRISM had fifty or so large corporate sponsors, and many of them had expert system pilots. The technology seemed ready for prime time. Alaround the Kendall Squ...

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Thomas H. Davenport:人工智能优势:如何将人工智能革命付诸实践(英文版)

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