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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.

Download the accompanying reference guide.

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

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  •  
    Nathan Burnham 05-06-17 Member Since 2016
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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.

    2 of 2 people found this review helpful
  •  
    D. Pelletier Niagara Ontario 05-18-17
    D. Pelletier Niagara Ontario 05-18-17 Member Since 2016

    OtherUser76767

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    "Lots of opinion but not much advice"

    After reading the reviews and the description I decided to give this book a shot but I'm rather disappointed. If you're an entrepreneur or manager looking to navigate the next few years while people still have jobs but the author seems to think mass unemployment won't happen because under educated people that are not good at reasoning or critical thinking or math will move up to "higher value" tasks. The author fails to understand all of the trends involved (Exponential growth, changes and disruption to a number of industries and the economic climate as well as peoples ability to learn or adapt) that will lead to a perfect storm.

    1 of 1 people found this review helpful
  •  
    Dale 05-02-17
    Dale 05-02-17 Member Since 2010
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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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