DECEMBER 20168By Vishal Dhupar, MD, NVIDIAHeadquartered in California, United States, NVIDIA is a pioneer of GPU computing that provides solutions for artificial intelligence, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, professional graphics and automotive technology.Big data is not an emerging tech trend: it's already here. Every web click, transaction and connected device is pumping information into our systems. Staggeringly, 90 percent of all the data that exists today was created in the last two years. And data generation is only going to accelerate. So how do we take the next step, from gathering data to analysing it and deriving meaning to inform decision making? From retail, healthcare and telecommunications to banking, manufacturing and self-driving cars, the scale on which organisations are producing data is simply too massive for manual processing to be an option.Artificial intelligence, and in particular the branch of AI called deep learning, is answering this challenge. The `deep' in deep learning refers to the way deep learning systems build layers of nodes or neurons, called artificial neural networks, to solve problems. These networks are roughly comparable to the structure of the human brain. In conventional computing, a programmer writes lines of code which tell the computer how to solve a problem. Deep learning is a completely new computing model which enables computers to solve problems by trial and error, in much the same way human children learn. Effectively, a computer using deep learning is writing its own software. It's an extremely powerful approach because, unlike conventional programming, it allows computers to solve problems we don't know the answers to by finding patterns in data. In combination with graphics processing units (GPUs), which deliver the extreme processing power IN MY OPINOINUNLOCKING THE `BLACK BOX' OF BIG DATA: WHY ARTIFICIAL INTELLIGENCE WILL SOON BE YOUR ORGANISATION'S MOST IMPORTANT TECHNOLOGYVishal Dhupar
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