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Title: What to Do When Machines Do Everything

Subtitle: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data

Author: Malcolm Frank, Paul Roehrig, Ben Pring

Narrator: Eric Martin

Format: Unabridged

Length: 7 hrs and 28 mins

Language: English

Release date: 04-28-17

Publisher: Audible Studios

Ratings: 4.5 of 5 out of 92 votes

Genres: Business, Leadership

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:

Members Reviews:

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.

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.