Evans Data Corporation Developers Targeting Fin-Tech for Deep Learning

January 11, 2017 - Artificial Intelligence in all its forms is being rapidly adopted and incorporated in many new applications. Of those developers working with some form of AI, 34% are involved with Deep Learning techniques, and the industry most likely to be targeted is the Financial/Insurance industry with 16.4% targeting it, according to Evans Data's recently released Artificial Intelligence and Big Data Survey. The survey, conducted with 440 professional developers involved with Artificial Intelligence and/or Big Data also showed that targeting of Internet of Things (14.9%) and non-computer manufacturing (12.5%) are also among the top industries for Deep Learning implementations. Further survey results focused on Deep Learning showed that for almost a third of developers working with Deep Learning, the most common type of data being used is numerical inputs. The most popular types of methods being used are Markov Chain Monte Carlo and Contrastive Divergences.