The Economist says the world's most valuable resource is no longer oil, but data. The more data AI has, the more accurate it will become. That’s why having large amounts of data is more important than ever. We can teach machines through supervised learning now, instead of programming them and they will then learn on their own through trial and error. With these advances, is it now possible to feed your big data into an AI engine and let machine learning mine the precious insights, predictions and next course of action. Something that takes us far beyond our inherent abilities.”Īrtificial Intelligence (AI) is the new bicycle bridging the virtual world with the physical and big data is the fuel and lifeblood of AI. And so for me, a computer has always been a bicycle of the mind.

And that we can fashion tools that amplify these inherent abilities that we have to spectacular magnitudes. And it made a really big impression on me that we humans are tool builders. A human riding a bicycle blew away the condor all the way off the top of the list. But somebody there had the imagination to test the efficiency of a human riding a bicycle. And humans came in about a third of the way down the list, which was not such a great showing for the crown of creation. How many kilocalories did they expend to get from point A to point B? And the condor won, came in at the top of the list, surpassed everything else. I think it might have been Scientific American, where they measured the efficiency of locomotion for all these species on planet earth. “I remember reading an article when I was about twelve years old. The real challenge is merging all the analysis together to get a 360-degree contextual picture of your customers, potential purchases and market trends.Īpple's Steve Jobs once said during an interview,

With all that data, the teams of data analysts that companies rely on today to interpret the data simply can’t keep pace with the volume.

It is not humanly possible to categorize and find insights from these oceans of data quickly enough so that the information is relevant. The overall, high-level purpose of mining all this structured and unstructured data from your CRM, sales, marketing and advertising channels and most recently IoT devices is to garner insights into your customers, competitors and potential market trends. Have you ever thought about all the data your business is capturing on a hourly, daily or weekly basis? It is probably incomprehensible in light of the channels and volume of information captured 24/7.

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