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What to Do When Machines Do Everything

How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
Durée : 7 h et 28 min
4.5 out of 5 stars (2 notations)

Prix : 19,76 €

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Description

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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Notations

Global

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Il n'y a pas encore de critique disponible pour ce titre.
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  • Global
    2 out of 5 stars
  • Interprétation
    3 out of 5 stars
  • Histoire
    1 out of 5 stars
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  • Nathan Burnham
  • 06/05/2017

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.

26 sur 27 personne(s) ont trouvé cet avis utile.

  • Global
    3 out of 5 stars
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  • D. Pelletier
  • 18/05/2017

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.

7 sur 8 personne(s) ont trouvé cet avis utile.

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    1 out of 5 stars
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  • Stanley Jungleib
  • 18/01/2019

Magazine material

Until hearing this book, I never knew that an utter lack of informative content could be so redundantly blended.

  • Global
    5 out of 5 stars
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  • JJOY
  • 07/12/2018

Very realistic evaluation of what's coming next

Title could have been better as it may sound little superstitious. Enjoyed this very well researched content.

  • Global
    4 out of 5 stars
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  • Aaron S.
  • 10/07/2018

Good if not a bit repetitive

While I enjoyed this book, it suffers from (somewhat ironically) an old book problem. It repeats information multiple times to give the listener background context. This is usually done for those who start and stop listening at the end of chapters to give the reader an easy jump back into the book. When reading multiple chapters at once I found this annoying as it simply stretched the runtime from about 4 hours to 7.5.

  • Global
    4 out of 5 stars
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  • Tom S
  • 22/05/2018

industry optimism with blind spots

AI is here to stay, in that I agree with the authors. However, despite the book closing out on a balanced note, the bulk of the book takes an optimistic view. The authors choose to address the reader as a "future leader", implicitly an industry leader. It sheds little light though on what the average worker out of a job is to do or how political leaders are to react. The vision of the book predicts an economic boom but takes no stab at how social structures would be affected.

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    5 out of 5 stars
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  • Arno
  • 11/05/2018

Very insightful android helpful

Very insightful android helpful. We may determine the way humankind will self destruct. Very interesting

  • Global
    5 out of 5 stars
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  • Jurgen
  • 02/05/2018

super

great insights and based on good assumptions. a must read for innovation managers that want to prepare their business for the future

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    1 out of 5 stars
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    3 out of 5 stars
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  • Chris Jares
  • 08/03/2018

Boring

Just boring. Lots of generalities and little interesting or worthwhile. Keep your money and buy future crimes instead.

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    5 out of 5 stars
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  • Brian C.
  • 10/02/2018

Very thoughtful read

A blend of future AI tech and economic history. This not some dark outcome but one to reflect on in greater context.

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    5 out of 5 stars
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  • Eric Hoffmann
  • 08/07/2017

Optimistic and insightful

Optimistic and insightful study on what to expect. The authors claim that next to many jobs being replaced many will be supported by robots and AI. Worth while read

1 sur 1 personne(s) ont trouvé cet avis utile.

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    5 out of 5 stars
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  • Utilisateur anonyme
  • 27/11/2019

Get the 10.000 ft overview

It's a great book for people who seeks to put AI into business models.
It shows the key elements (from 10.000ft view) you need to think of when you want sell your AI idea to old cooperates.
It shows how the old cooperates have a good chance to become competible with the startup from silicon Valley or China.

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  • El Fadil
  • 05/08/2018

A compiling story about what 2 do while machine is doing stuff

Well structured, instructive examples and left you with some AHA moments.
However, there are folks who are pessimistic about machines and leveraging their views as well in this book would have given a little more of balance between optimism/pessimism. So overall, I’d definitely recommend reading it and rereading it:)

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    5 out of 5 stars
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  • Kindle Customer
  • 13/12/2017

Informative

A great summation of things to come in the next 20 years. Buckle up and hold on, we're going to plaid!