• What to Do When Machines Do Everything

  • How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
  • By: Malcolm Frank, Paul Roehrig, Ben Pring
  • Narrated by: Eric Martin
  • Length: 7 hrs and 28 mins
  • Unabridged
  • Release date: 04-28-17
  • Language: English
  • Publisher: Audible Studios
  • 4.5 out of 5 stars 4.5 (110 ratings)

Regular price: $19.95

Free with 30-day trial
Membership details Membership details
  • A 30-day trial plus your first audiobook, free
  • 1 credit/month after trial – good for any book, any price
  • Easy exchanges – swap any book you don’t love
  • Keep your audiobooks, even if you cancel
  • After your trial, Audible is just $14.95/month
Select or Add a new payment method

Buy Now with 1 Credit

By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Buy Now for $19.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

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

Customer Reviews

Most Helpful
2 out of 5 stars
By Nathan Burnham on 05-06-17

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.

Read More Hide me

20 of 20 people found this review helpful

3 out of 5 stars
By D. Pelletier on 05-18-17

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.

Read More Hide me

6 of 6 people found this review helpful

See all Reviews

Customer Reviews

Most Helpful
4 out of 5 stars
By Newty1977 on 09-04-17

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.

Read More Hide me

1 of 1 people found this review helpful

5 out of 5 stars
By Matthew on 01-24-18

A great book

This is the most pragmatic and less frightful way of looking at how digital can be incorporated into our lives and companies. Loved every page

Read More Hide me
See all Reviews

Customer Reviews

Most Helpful
5 out of 5 stars
By Anonymous User on 02-26-18

Very topical

Very interesting and topical read. I own the hard copy as well. The narrator was a little monotone but I still enjoyed it.

Read More Hide me
See all Reviews
© Copyright 1997 - 2018 Audible, Inc