Competing in the age of AI (Record no. 8510)

MARC details
000 -LEADER
fixed length control field 02431nam a2200169Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250117103936.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781633697621
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.05IAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Iansiti, Marco.
245 #0 - 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.
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 267p.
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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence--Industrial applications.
Holdings
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        UONGOZI Institute Resources Centre - Dar es Salaam UONGOZI Institute Resources Centre - Dar es Salaam 01/17/2025   658.05IAN 008096 01/31/2025 01/17/2025 Book