According to Gartner, AI will likely generate $1.2 trillion in business value for enterprises in 2018, 70 percent more than last year. “AI promises to be the most disruptive class of technologies during the next 10 years due to advances in computational power, volume, velocity and variety of data, as well as advances in deep neural networks (DNNs),” said John-David Lovelock, research vice president at Gartner.
Those deep neural networks are used for deep learning, which most enterprises believe will be important for their organizations. A 2018 O’Reilly report titled How Companies Are Putting AI to Work through Deep Learning found that only 28 percent of enterprises surveyed were already using deep learning. However, 92 percent of respondents believed that deep learning would play a role in their future projects, and 54 percent described that role as “large” or “essential.”
What Is Deep Learning
To understand what deep learning is, you first need to understand that it is part of the much broader field of artificial intelligence. In a nutshell, artificial intelligence involves teaching computers to think the way that human beings think. That encompasses a wide variety of different applications, like computer vision, natural language processing and machine learning.
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