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Guidebook

Machines That Learn

Discover mechanisms by which machines can learn

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Multiplier Summary

Computers can process information faster than humans in many ways, but there are also limits to machine thinking that are important to understand. Machine learning, predictive analytics and artificial intelligence all are often said to be the solutions to major problems inside and outside of work. Learn what each discipline means, how they can be practically applied, what they require, and what is realistic to expect of these technologies.

How Machines Think

Is it really AI?

Different Kinds of Learning

  • Predictive Analytics
  • Machine Learning
  • Narrow AI
  • Wide/General AI

The Impact of Quantum Computing on “Machine Thinking”

10x effect

Big idea

How it works

Shift thinking from...

Shift thinking to...

10x results

Chapters

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Digital Fluency

Upgrade to the Thinking, Data, Business Models, Tools and Skills of the Digital Era. 
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Thinking For A Digital Era

Transform your mindsets for the digital era.
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Thinking Styles

Discover the power of diverse thinking.
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Rethinking Remote

We have to shift our thinking for digital collaboration, not just our locations.
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Narrative

Transform audiences into co-creators by creating a powerful story based on Shared Purpose
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Platforms

Use platform thinking to activate network effects and create exponential results
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Principles

Develop principles for empowered decision-making across networked organizations
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