Deep Learning Has Been Commercialized into More than 100 Use Cases

Deep learning, a computing construct based loosely on the architecture of the human brain, has emerged as one of the most promising enabling technologies in the world of artificial intelligence (AI). Although many of the concepts underlying AI and technological biomimicry of human intelligence are over 50 years old, deep learning's growth today is the result of a rather sudden convergence of three key trends: big, even colossal, data generation; advancements in hardware capabilities; and improvements in algorithms. According to a new report from Tractica, deep learning has been commercialized into more than 100 distinct use cases to date, touching virtually every industry. Tractica forecasts that deep learning software revenue will grow from $655 million in 2016 to $34.9 million worldwide by 2025. "Businesses around the world are beginning to harness deep learning due to its ability to drive efficiencies in the form of speed, accuracy, agility, and access in several key areas," says principal analyst Jessica Groopman.