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Enterprise Deep Learning: Teaching Machines to Recognize Business Data Patterns
Deep learning refers to artificial intelligence algorithms that can recognize, classify and categorize data patterns. The algorithms often transform data sets into complex strcutures that are processed by multiple non-linear transformations. Deep learning software can be trained to help reveal patterns in data and be used for making decisions.
Deep learning is beginning to be built into enterprise software. A recent report from Tractica estimates that the deep learning enterprise software market will cumulatively total more than $40 billion over the next ten years. The report estimates that the market size was only $109 million in 2015, but that will reach more than $10 billion by 2024.
Bruce Daley, principle analyst at Tractica, said that “deep learning is a technology second only to the internet in its power to disrupt entire industries. Like the internet, it can be used to enable a wide variety of innovative business models. Yet, because of its nature, deep learning will be consistently over-hyped, under-delivered, and controversial. Consequently, many of its most notable successes will go unheralded… Some of the most successful companies in the world have been early adopters of deep learning for computer vision applications. Although the enterprise market for deep learning is still small in relation to the total enterprise software sector, the variety, breadth, and scope of the applications that deep learning is being considered for suggests that a tremendous growth opportunity exists.”
