{"id":6375,"date":"2016-06-08T07:00:34","date_gmt":"2016-06-08T15:00:34","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=6375"},"modified":"2016-05-03T19:50:07","modified_gmt":"2016-05-04T03:50:07","slug":"enterprise-deep-learning-teaching-machines-to-recognize-business-data-patterns","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/enterprise-deep-learning-teaching-machines-to-recognize-business-data-patterns\/","title":{"rendered":"Enterprise Deep Learning: Teaching Machines to Recognize Business Data Patterns"},"content":{"rendered":"<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Deep_learning\" target=\"_blank\">Deep learning<\/a> refers to\u00a0artificial intelligence algorithms that can recognize, classify and categorize data patterns. \u00a0The algorithms often\u00a0transform data sets into complex strcutures that are processed by multiple non-linear transformations. \u00a0Deep learning software can be trained to help reveal patterns in data and be used for making decisions.<\/p>\n<p>Deep learning is beginning to be built into\u00a0enterprise software. \u00a0A recent <a href=\"http:\/\/www.businesswire.com\/news\/home\/20151103005257\/en\/Deep-Learning-Software-Market-Surpass-10-Billion\" target=\"_blank\">report from Tractica<\/a> estimates that the deep learning enterprise software market will cumulatively total more than $40 billion over the next ten years. \u00a0The report estimates that the market size was only $109 million in 2015, but that will reach more than $10 billion by 2024.<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/brucedaley\" target=\"_blank\">Bruce Daley<\/a>, principle analyst at Tractica, <a href=\"http:\/\/www.businesswire.com\/news\/home\/20160503005457\/en\/Deep-Learning-Enterprise-Software-Spending-Surpass-40\" target=\"_blank\">said that<\/a> \u201cdeep learning is a technology second only to the internet in its power to disrupt entire industries.\u00a0Like 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&#8230; \u00a0Some of the most successful companies in the world have been early adopters of deep learning for computer vision applications. 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