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Artificial Intelligence: The Replacement to Moore’s Law is Data
Gordon Moore noted in a 1965 paper that the density of integrated circuits doubled about every two years. The rest is history. Moore’s law proved to be remarkably accurate to even this day. The current pace is closer to every three years now, but many expect that it is near an end. Computers and technological innovation are not coming to an end, but Moore’s law likely will.
What will replace it? Some are saying “AI’s Law“. Ginni Rometty, CEO at IBM, has put a brand on the new law, calling it “Watson’s Law.”
Rometty said that “if you think back in history over the last 60 years, there have only been two times when technology has allowed businesses to improve on an exponential curve, instead of just linear. It was once something called Moore’s Law – that chips and processing would double every 18 months. That led to the automation of everything as we know it. Then there was something called Metcalfe’s law. Technically, it says the value of a network is equal to the square of the nodes on the network. That is what gave rise to the platform companies, be it Facebook or Google. I think everyone would say those two moments in time have profoundly changed life as we know it. But I would tell you that we stand one more time at another exponential moment. Here’s the formula: think of all the data in the world, add tools like AI, and what companies and people will be able to do is have exponential learning, and if you have exponential learning it is the ultimate competitive advantage: you will outlearn other people. The corollary to that law is that contrary to conventional wisdom out there, many can win. Not just a few companies and if you ask why, the answer is the data.”
