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Ben Pring Malcolm Frank Paul Roeh What To Do When Machines Do Everyth (Hardback)

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
What To Do When Machines Do Everything
Title
What To Do When Machines Do Everything
EAN
9781119278665
ISBN
9781119278665
Release Date
10/02/2017
Release Year
2017
Item Length
160mm
Subtitle
How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
Country/Region of Manufacture
US
Genre
Business & Finance
Publication Year
2017
Type
Textbook
Format
Hardcover
Language
English
Publication Name
What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
Item Height
235mm
Author
Paul Roehrig, Ben Pring, Malcolm Frank
Publisher
John Wiley & Sons INC International Concepts
Item Width
160mm
Subject
Business
Item Weight
442g
Number of Pages
256 Pages

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Product Information

Refreshingly thought-provoking... - The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners-who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business-this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives-Automate, Halos, Enhance, Abundance, and Discovery-that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business-or your career-get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.

Product Identifiers

Publisher
John Wiley & Sons INC International Concepts
ISBN-13
9781119278665
eBay Product ID (ePID)
232646325

Product Key Features

Author
Paul Roehrig, Ben Pring, Malcolm Frank
Publication Name
What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
Format
Hardcover
Language
English
Subject
Business
Publication Year
2017
Type
Textbook
Number of Pages
256 Pages

Dimensions

Item Height
235mm
Item Width
160mm
Item Weight
442g

Additional Product Features

Title_Author
Paul Roehrig, Malcolm Frank, Ben Pring
Country/Region of Manufacture
United States

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