{"id":12120,"date":"2021-05-05T10:13:15","date_gmt":"2021-05-05T14:13:15","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12120"},"modified":"2021-05-05T10:13:15","modified_gmt":"2021-05-05T14:13:15","slug":"wise-practitioner-predictive-analytics-interview-series-alexander-wu-at-nauto","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wise-practitioner-predictive-analytics-interview-series-alexander-wu-at-nauto\/12120\/","title":{"rendered":"Wise Practitioner \u2013 Predictive Analytics Interview Series: Alexander Wu at Nauto"},"content":{"rendered":"By: Luba Gloukhova, Conference Chair, Deep Learning World In anticipation of his upcoming presentation at Deep Learning World Livestream, May 24-28, 2021,\u00a0we asked Alexander Wu, Senior Deep Learning Engineer at Nauto, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Leveraging Driving Data to Gain an Edge, and see what\u2019s in store at the DLW conference. Q: In your work with deep learning, what do you model (i.e., what is the dependent variable, the behavior or outcome your models predict)? As an AI-powered driver and fleet safety platform, Nauto models a huge <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wise-practitioner-predictive-analytics-interview-series-alexander-wu-at-nauto\/12120\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>(more&hellip;)<\/p>\n","protected":false},"author":14304,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3,591],"tags":[],"class_list":["post-12120","post","type-post","status-publish","format-standard","hentry","category-leading-stories","category-interviews"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12120","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/14304"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12120"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12120\/revisions"}],"predecessor-version":[{"id":12122,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12120\/revisions\/12122"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}