AI is Not Magic: It's Time to Demystify and Apply - THINK Blog

• Updated on: 2019-03-21
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For centuries, electricity was thought to be the domain of sorcerers – magicians who left audiences puzzled about where it came from and how it was generated. And although Benjamin Franklin and his contemporaries were well aware of the phenomena when he proved the connection between electricity and lightning, he had difficulty envisioning a practical use for it in 1752. In fact, his most prized invention had more to do with avoiding electricity – the lightning rod. All new innovations go through a similar evolution: dismissal, avoidance, fear, and perhaps finally acceptance.

Almost two hundred years after Franklin’s lightning experiment, man was routinely harnessing electricity, even though we still lacked a deep understanding of its origins. The Lineman’s Handbook of 1928 begins with the line: “What is electricity? – No one knows.” But according to this field guide for early electrical linemen, understanding the make-up of electricity wasn’t important. The more significant aspect was knowing how electricity could be generated and safely used for light, heat and power.

Today, too many people view artificial intelligence (AI) as another magical technology that’s being put to work with little understanding of how it works. They view AI as special and relegated to experts who have mastered and dazzled us with it. In this environment, AI has taken on an air of mysticism with promises of grandeur, and out of the reach of mere mortals.

The truth, of course, is there is no magic to AI. The term Artificial Intelligence was first coined in 1956 and since then the technology has progressed, disappointed, and re-emerged. As it was with electricity, the path to AI breakthroughs will come with mass experimentation. While many of those experiments will fail, the successful ones will have substantial impact.

That’s where we find ourselves today. As others, like Andrew Ng have suggested, AI is the new electricity. In addition to it becoming ubiquitous and increasingly accessible, AI is enhancing and altering the way business is conducted around the world. It is enabling predictions with supreme accuracy and automating business processes and decision-making. The impact is vast, ranging from greater customer experiences, to intelligent products and more efficient services. And in the end, the result will be economic impact for companies, countries, and society.

To be sure, organizations that drive mass experimentation in AI will win the next decade of market opportunity. To breakdown and help demystify AI, one needs to consider two key elements of the category: the componentry and the process. In other words, identifying what’s behind it and how it can be adopted.

Much like electricity was driven by basic components such as resistors, capacitors, diodes, etc., AI is being driven by modern software componentry:

With these components in hand, more organizations are unlocking the value of data. But to fully leverage AI, we must also understand how to adopt and implement the technology. For those planning the move, consider these fundamental steps first:

AI is becoming as fundamental as electricity, the internet, and mobile as they were born into the mainstream. And while these arcs of innovation were widely used before they were fully understood and exploited, organizations don’t have the luxury of time with AI. It’s moving too fast. In fact, not having an AI strategy in 2019 will be like not having a mobile strategy in 2010, or an Internet strategy in 2000.

Let’s hope that when you look back at this moment in history, you can do so fondly, as someone who embraced data as the new resource and AI as the utility to harness it.

A version of this story first appeared on Informationweek.