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What to Do When Machines Do Everything Audiobook

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

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Publisher's Summary

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.

PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.

©2017 Cognizant Technology Solutions U.S. Corporation (P)2017 Audible, Inc.

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    Newty1977 04/09/2017
    Newty1977 04/09/2017 Member Since 2017
    HELPFUL VOTES
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    "Mocking Dystopia"

    Ok, maybe not completely mocking the dystopian view of Artificial Intelligence and Robotics, but the authors do a solid job of presenting an alternative view of the doom mongering that often surrounds AI and our future. Sure, there are reasons to be concerned, but drawing on examples from industrialisation and automation that has been occurring across sectors for decades, the authors do a credible job of outlining how AI can lead to more jobs and better, more interesting work. We can choose whether we believe the predictions and there are credible arguments on both sides of the debate, but this book presents a strong argument for optimism.

    0 of 0 people found this review helpful
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  • Nathan Burnham
    06/05/17
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    Performance
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    "Assumes that machine learning will grow very slow"

    As a founder of a robotics startup I work with and keep up to date with the bleeding edge of what we have accomplished in machine learning research.

    At the core of this book it argues that machine learning will be narrow AI and will continue to be simple feed forward supervised neural networks for about 20 years.

    This is very wrong. We have robust renforment learning, unsupervised learning, and models that integrate with memory. When just what we have working well in universities reaches buisness we will automate much more that what the author's predict. This also ignores that massive breakthroughs in ml are being discovered on the timescale of weeks not years.

    They also say that some jobs will never be automated. Perhaps the author believes that there is something magical about the algorithm in the human brain which the physics of the universe prevents us from replicating.

    Besides all that, this book is dumbed down and targeted at technically incompetent managers. It has a low information to fluff ratio and is afraid to go into much technical depth. This last point doesn't make it a bad book, just a bad book to me.

    14 of 14 people found this review helpful
  • Mike
    WOODBRIDGE, VA, United States
    09/08/17
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    "Wish I Bought the Book instead"

    Good book, full of recommendations for leaders to consider when seeking to modernize their organizations. There were many need lists that do not translate as well to the audio book format. It's hard to absorb a long and complex list by hearing alone...hard to flip back a page to refresh the rest of the list in your head. Else a thought-provoking listen.

    0 of 0 people found this review helpful
  • burak
    29/07/17
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    "Future for dummies"

    It gives Very general info. Tech for beginners. I Did not hear any original comment.

    0 of 0 people found this review helpful
  • Dale
    02/05/17
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    "A look at future bussiness models use of big data."

    Frank Pring & Roehrig bring insight of where industries need to look to maintain competitiveness & ultimately profitability in the near future. These perspectives also bring a sense of relief in that job prospects are going to change, but not be eliminated. AI & machine learning are not eliminating jobs, they are changing the way we work, & enhancing the lives of those who take advantage of it, in much the same way that steam power, electricity, & transistors have done already.

    0 of 1 people found this review helpful

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