The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You

The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You

by Mike Walsh

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Product Details

ISBN-13: 9781989025338
Publisher: Page Two Books, Inc.
Publication date: 03/12/2019
Pages: 256
Sales rank: 455,235
Product dimensions: 6.00(w) x 9.00(h) x (d)
Age Range: 18 Years

About the Author

Mike Walsh is the CEO of Tomorrow, a global consultancy on designing companies for the twenty-first century. He advises leaders on how to thrive in the current era of disruptive technological change.

A true global nomad, Mike travels over 300 days a year worldwide, researching trends, collecting case studies, and presenting on the future of business. Mike’s clients include many of the global Fortune 500, and as a sought-after keynote speaker he regularly shares the stage with world leaders and business icons alike. Mike previously founded Jupiter Research in Australia, and has also held senior strategy roles at News Corporation in the Asia Pacific region.

Mike’s other books include Futuretainment and The Dictionary of Dangerous Ideas. Each week he interviews provocative thinkers, innovators, and troublemakers on his podcast, Between Worlds.

Table of Contents

#0 - Introduction: Welcome to the algorithmic age

#0.1: Flying the unfriendly skies
#0.2: A tale of two leaders
#0.3: The leader in the rhizome
#0.4: The end of all jobs?
#0.5: How to read this book

Part I: Change Your Mind

#1 - Work backwards from the future
#1.1: Start with algorithms
#1.2: Understand what machines can do
#1.3: Build for your future customers
#1.4: Learn from your kids
#1.5: Focus on experiences, not devices

#2 - Aim for 10X not 10%
#2.1: Focus on multiples, not margins
#2.2: Don’t let a great idea hold you back from a better one
#2.3: Learn to follow the data
#2.4: Unlock the value of your own knowledge
#2.5: Imagine a future without your company in it

#3 - Think computationally
#3.1: Start with first principles
#3.2: Think like a computer
#3.3: Augment your intelligence
#3.4: Learn to trust the algorithm
#3.5 Speak the languages of power

#4 - Embrace uncertainty
#4.1: See the world like a gambler
#4.2: Rethink the role of meetings
#4.3: Conduct a decision audit
#4.4: Build an algorithmic brain trust
#4.5: Experiment to find questions, not answers

Part II: Change Your Work

#5 - Make culture your operating system
#5.1: Put principles before processes
#5.2: Be a gardener, not a prison guard
#5.3: Design teams to succeed
#5.4: Set the stage for smart ideas
#5.5: Use data to hack your culture

#6 - Don’t work, design work
#6.1: Challenge your raison d'être
#6.2: Find the scaled-up solution
#6.3: Preserve your talent patterns
#6.4: Let your team own the work
#6.5: Build a digital twin

#7 - Automate and elevate
#7.1: Find the new job inside the old one
#7.2: Re-train, re-equip, and re-energize
#7.3: Create a team to rethink teams
#7.4: Reimagine, don’t just replace work
#7.5: Focus on the exceptions

Part III: Change Your World

#8 - If the answer is X, ask Y
#8.1: Pick the right moral compass
#8.2: Avoid automating bias
#8.3: Understand the explainability trade-off
#8.4: Pick the right target
#8.5: Focus on the forest

#9 - When in doubt, ask a human
#9.1: Humanize, don’t standardize
#9.2: Look outside the window
#9.3: Solve for everyone, not for the few
#9.4: See the world as a designer
#9.5: Augment relationships, don’t replace them

#10. Solve for purpose, not just profit
#10.1: Connect people to their work
#10.2: Beware the algorithmic inequality trap
#10.3: Use algorithmic management thoughtfully
#10.4: Build platforms that you would use yourself
#10.5: Transform work by transforming yourself

Epilogue

Acknowledgements

References and further reading

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