Competing in the age of AI : strategy and leadership when algorithms and networks run the world / Marco Iansiti, Karim Lakhani.

By:

Iansiti, Marco, 1961- [author.]

Contributor(s):

Lakhani, Karim R [author.]

Material type: Text

9781633697621

Subject(s):

LOC classification:

Q335 .I323 2020

Courses that have reserved this title:

B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation

Summary: 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

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	TBS Barcelona	Core Textbooks	Q335 IAN (Browse shelf(Opens below))	1	Checked out	14/12/2024	B02914

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Previous	Q334.7 BLA Ethical machines : your concise guide to totally unbiased, transparent, and respectful AI	Q334.7 DUB The Oxford handbook of ethics of AI	Q334.7 DUB The Oxford handbook of ethics of AI	Q335 IAN Competing in the age of AI : strategy and leadership when algorithms and networks run the world	Q335 MAR Rebooting AI : building artificial intelligence we can trust	Q335 MAR Rebooting AI : building artificial intelligence we can trust	QA278.2 MON Introduction to linear regression analysis	Next

Includes bibliographical references and index.

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

B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation

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