What to Do When Machines Do Everything

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

De: Malcolm Frank, Paul Roehrig, Ben Pring

Narrado por: Eric Jason Martin

Duración: 7 h y 28 m

Resumen del Editor

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.

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.

A Great Primer on What's on the Cusp of Technology

Very thought provoking. The authors are much more optimistic than I tend to be though even they admit "there will be blood." They give some very actionable suggestions on how individuals and companies might prepare for the disruptive changes that are coming.

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.

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.

Future for dummies

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

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.

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.

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.

A "Must Read"

I highly suggest this book for anyone in the RPA field! Help shape the future and have a better understanding of how your office job will transform over time.

Edit: This book helped me land a job in the RPA field within my financing department. I highly recommend on that alone.

Interesting read

Good read for those who want to know how to automate processes. Sometimes I think the authors assume people with good character will always be there to shepherd AI into the future, and that people will trust corporations. So at times I found the assumption that AI will only be used to better humankind to be overly optimistic, as they assume a static political and social climate. But it provided a very good process and guiding principles for those looking to implement data collection, automation, apply business intelligence and create new business models.