Competing in the age of AI : (Record no. 590339)

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control field 21098697
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190723s2020 mau 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019024137
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781633697621
Qualifying information (hardcover)
038 ## - RECORD CONTENT LICENSOR
Staff Name Azhar
040 ## - CATALOGING SOURCE
Original cataloging agency MH/DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
Item number .I323 2020
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.0563
Edition number 23
Author Mark IAN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Iansiti, Marco,
Dates associated with a name 1961-
Relator term author.
9 (RLIN) 93690
245 10 - TITLE STATEMENT
Title Competing in the age of AI :
Remainder of title strategy and leadership when algorithms and networks run the world
Statement of responsibility, etc. Marco Iansiti and Karim Lakhani.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston, MA :
Name of publisher, distributor, etc. Harvard Business Review Press,
Date of publication, distribution, etc. 2020
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2001
300 ## - PHYSICAL DESCRIPTION
Extent pages cm
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Content type term text
Content type code txt
Source rdacontent
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Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note The age of AI: artificial intelligence is transforming the way firms function and restructuring the economy -- Rethinking the firm: how software, networks, and AI are changing the fundamental nature of companies-the way they operate and compete -- The AI factory: the core of the new firm is a scalable decision factory, powered by software, data, and algorithms -- Rearchitecting the firm: to use the full power of digital networks and AI, firms need a fundamentally different operating architecture -- Becoming an AI company: how to transform and rearchitect the firm to leverage the power of data, networks, and artificial intelligence -- Strategy for a new age: digital firms enable and require a new approach to strategy -- Strategic collisions: what happens when digital firms compete ("collide") with traditional firms -- The ethics of digital scale, scope and learning: the ethical challenges generated by the transformation of the nature of firms -- The new meta: how the age of AI is changing the "rules of the game," with fundamental implications for all of us -- A leadership mandate: the age of AI is defining a new set of challenges for leaders of digital firms, traditional organizations, startups, regulatory institution, and communities.
520 ## - SUMMARY, ETC.
Summary, etc. "In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have constrained business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, drive massive scope increase, enabling companies to straddle industry boundaries, and enable powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition and altering the structure of our economy Show how these collisions force traditional companies to change their operating models to drive scale, scope, and learning Explain the risks involved in operating model transformation and how to overcome them Describe the new challenges and responsibilities for the leaders of these firms Packed with examples--including the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is the essential guide for rethinking how your firm competes and operates in the era of AI"--
Assigning source Provided by publisher.
563 ## - BINDING INFORMATION
Binding note HB
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Industrial applications.
9 (RLIN) 93691
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Competition.
9 (RLIN) 91120
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Leadership.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business planning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lakhani, Karim R.,
Relator term author.
9 (RLIN) 93692
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Lincoln Corner
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
          Central Library (CL) Central Library (CL) Lincoln Corner 07/19/2022 658.0563 IAN LC-110 07/19/2022 07/19/2022 Reference
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