The New Era of Cognitive Computing


We innovate to tackle overwhelming tasks, to answer seemingly unsolvable questions. And in our time, one of the biggest challenges we face is of our own making – all the data we’re creating as we dot the world with sensors, social networks, smartphones, clouds and data centres. We know more than any other generations at any time has known. And yet we are struggling to be able to keep up with this flood of increasingly complex information, let alone make the best sense of it.
How do you make the most informed medical decision for treating a patient when the amount of medical research is doubling every year? How does a financial company shift through bank data that’s growing as much as 50% annually? How does a utility or a city government improve the response to a weather driven emergency by taking advantage of the vast trove of information coming from predictive analytics models, real time sensors, management systems, social networks and the media?
The answer is cognitive computive, an innovation so sweeping that it’s ushering in a new age of computing, along with a new partnership between humans and computers, one where we bring together skills and collaborate to produce better results. To understand just how broadly computing is about to change, step back and think about the machines humming all around us. Computers, originally designed to help us through speedier calculation, automation, and pattern finding, are programmed in advance to perform every task they undertake. But is the era of Big Data, discover new insights, and improve their own performance over time, with or without programming.

These machines will help us think. Cognitive systems will learn, adapt, hypothesis, and recommend in real time. To accomplish that, they must be able to take in the world as we do, by means of senses. They also must be able to adapt to ever changing factors and new information and weigh complex and ambiguous situations the way we humans do. That’s how we will learn to trust their recommendations and come to rely on them as partners in solving complex problems. 

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