The 3rd or 4th Industrial Revolution? Taking Ai Seriously… — Issue#1

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➥ Why Care:

SUMMARY: Articles 1 & 2 below debate whether we are in the 3rd or 4th Industrial Revolution which is defined by “exponential growth rate” brought on by digital transformation. Regardless, Ai is a driving force of this rapid change and, as Andrew Ng, one of the foremost thinkers on the topic of artificial intelligence states, Ai “Is The New Electricity”. It’s time to take Ai seriously, article #3.

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1) The Fourth Industrial Revolution: A.I. what it means & how to respond | World Economic Forum —

We stand on the brink of a technological revolution that will fundamentally alter the way we live, work, and…

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2) This is not the 4th Industrial Revolution. The World Economic Forum is wrong. —

In the opening session of the World Economic Forum’s…

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3) It’s Time to Take A.I. Seriously —

Interest in artificial intelligence (AI) has reached a fever pitch. Unlike most overhyped technologies, it may not be a fad.

➥ A.I. Demystified:

SUMMARY: Access to pre-trained, machine learning (ML) solutions are readily available, e.g., Google Image Search will identify images you submit or recommend images based on your text. Other vendors are offering ML as a service (MLaaS) — IBM, Amazon, Microsoft, to mention just a few, and have cloud based “cognitive” solutions that you “can plug and play”.

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Why you don’t need to understand machine learning algorithms — 
 I don’t know how all of the lovely algorithms in the picture above actually work. And you don’t need to, either.

➥ Turnkey A.I. Solutions:

SUMMARY: To get the gist of this article and skip the high-tech stuff scroll down and read paragraph 4 & 5 above the infographic. Basically, it explains that in 2016 there was a big uptick in out-of-the-box Ai enabled a.k.a. vertical software solutions that came to market. What that means, “you don’t need to understand machine learning algorithms” and it’s less likely you will build vs. buy a turnkey solution.

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The current state of machine intelligence 3.0 — 
 Watching the appeal and applications of machine intelligence expand.


About the Author:

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My name is George Polzer. —

I manage a group of machine learning and data scientist professionals at, a boutique marketing, and Ai enabling consultancy. We help companies quickly exploit marketing opportunities by building AI-enabled Minimum Viable Products (MVP) that will differentiate their products and services to gain a competitive edge with Ai.

Have an early stage Ai startup looking for advice, investment or want to explore your MVP ideas, I’d love to hear from you. 

Email me at info (at)