Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

By: Marco IansitiContributor(s): Karim R. LakhaniPublisher: Boston HBR Press 2020Description: xi, 267 pages; Illustrations: 24 cmISBN: 9781633697621Subject(s): Computers & Information TechnologyDDC classification: 658.0563 IAN
Contents:
Contents Colliding Worlds Rethinking the Firm The AI Factory Rearchitecting the Firm Strategy for a New Strategic Collisions The New Meta Notes Copyright
Abstract: AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, 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 restricted 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, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions.
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Non-fiction 658.0563 IAN (Browse shelf) Checked out 04/25/2022 001327

Contents
Colliding Worlds
Rethinking the Firm
The AI Factory
Rearchitecting the Firm
Strategy for a New
Strategic Collisions
The New Meta
Notes
Copyright

AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, 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 restricted 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, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions.

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