What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
(eAudiobook)

Grouping Information

Hoopla Extract Information

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    [year] => 2024
    [artist] => Malcolm Frank
    [fiction] => 
    [coverImageUrl] => https://cover.hoopladigital.com/gil_9781663730916_270.jpeg
    [titleId] => 16885631
    [isbn] => 9781663730916
    [abridged] => 
    [language] => ENGLISH
    [profanity] => 
    [title] => What to Do When Machines Do Everything
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    [duration] => 7h 34m 0s
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    [synopsis] => “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. Drawing upon 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, 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 that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy, and innovation.
    [url] => https://www.hoopladigital.com/title/16885631
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    [subtitle] => How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
    [publisher] => Ascent Audio
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