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The Algorithmic Leader
- How to Be Smart When Machines Are Smarter Than You
- Narrated by: Mike Walsh
- Length: 6 hrs and 56 mins
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Publisher's Summary
The greatest threat we face is not robots replacing us, but our reluctance to reinvent ourselves.
We live in an age of wonder: cars that drive themselves, devices that anticipate our needs, and robots capable of everything from advanced manufacturing to complex surgery. Automation, algorithms, and AI will transform every facet of daily life, but are we prepared for what that means for the future of work, leadership, and creativity? While many already fear that robots will take their jobs, rapid advancements in machine intelligence raise a far more important question: What is the true potential of human intelligence in the 21st century?
Futurist and global nomad Mike Walsh has synthesized years of research and interviews with some of the world's top business leaders, AI pioneers, and data scientists into a set of 10 principles about what it takes to succeed in the algorithmic age. Across disparate cultures, industries, and timescales, Walsh brings to life the history and future of ideas like probabilistic thinking, machine learning, digital ethics, disruptive innovation, and decentralized organizations as a foundation for a radically new approach to making decisions, solving problems, and leading people.
The Algorithmic Leader offers a hopeful and practical guide for leaders of all types, and organizations of all sizes, to survive and thrive in this era of unprecedented change. By applying Walsh's 10 core principles, listeners will be able to design their own journey of personal transformation, harness the power of algorithms, and chart a clear path ahead - for their company, their team, and themselves.
What listeners say about The Algorithmic Leader
Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
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- The Big K
- 2019-04-03
Eye Opening!!!
Extremely thought-provoking and fascinating read about what AI is bringing to business and what we can do to ensure we grow with it as leaders. Love Mike Walsh's very optimistic viewpoint on this.
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- keyona mcneill
- 2020-07-25
Awesome Book
This book is dynamic. All leaders should read it. Great and easy read and listen. This will prepare you for the future as a Algorithmic Leader. Mike Walsh spoke to my Gardner Webb University doctoral class.
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- MJLogan42
- 2021-01-23
good start and finish
Got a little forced in the middle but finished strong, overall this was a worthwhile read
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- Zach D.
- 2020-09-15
A clear guide to leadership in a "smart" future
Mike Walsh does an excellent job of breaking down what it means - what we need to do - to be a leader in the algorithmic age. This book takes complex topics and makes them accessible with real world examples as an inspirational guide on how to lead with data.
It is easy to remain stuck in the way you've always done things. It is also easy to pretend new digital landscapes and artificial intelligence won't change how one must think and act in an age of algorithms. That thinking perhaps implies there is a threat to one's professional existence posed by this future. However, this book illuminates how using systems, data, and intelligence gives us an opportunity to excel in our organizations and as leaders. If we embrace the digital advantages available to us today, we can become Algorithmic Leaders, and not Algorithmic Victims!
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- Otis531
- 2019-09-27
Very well done
Very solid book. The quantitative examples and communication at a layman’s level make this book useful for many audiences, across many academic subjects. Well done.
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- Jason Colak
- 2019-05-13
Great summary of the Between Worlds podcast
I thought that Mike did a great job tying together a number of disparate topics from the various podcast discussions in a cohesive whole. As a person who leads a data/technical team in a “business” division of the org, I am living the challenges involved in straddling the 2 worlds so I was able to relate to a lot of the topics in the books.
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- John
- 2019-01-27
Unfortunately a bit too simple.
Big fan of his podcast, but found this to be a bit too simple if you already have an "algorithmic" mindset.