Competing in the age of AI : (Record no. 11073)

MARC details
000 -LEADER
fixed length control field 02502nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field BML
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781633697621
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.0563
Item number IAN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Iansiti, Marco
245 10 - TITLE STATEMENT
Title Competing in the age of AI :
Remainder of title strategy and leadership when algorithms and networks run the world
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boston
Name of publisher, distributor, etc Harvard Business Review Press
Date of publication, distribution, etc 2020
300 ## - PHYSICAL DESCRIPTION
Extent 267 p.
500 ## - GENERAL NOTE
General note Includes index.
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"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Competition.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Leadership.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business planning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lakhani, Karim R.,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Price effective from Koha item type Public note
    Dewey Decimal Classification     Reference BMU Library BMU Library 11/12/2024 Atlantic (Bill No. 1182815, Date - 09-12-2024) 1399.00 1 658.0563 IAN 15115 05/03/2025 21/02/2025 11/12/2024 Books School of Management
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