{"id":2284,"date":"2013-08-29T17:49:44","date_gmt":"2013-08-29T17:49:44","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2284"},"modified":"2013-09-09T19:58:41","modified_gmt":"2013-09-09T19:58:41","slug":"carpe-datum-interviews-eric-siegel-on-predictiveanalytics-adoption-competitive-advantage","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/carpe-datum-interviews-eric-siegel-on-predictiveanalytics-adoption-competitive-advantage\/2284\/","title":{"rendered":"Carpe Datum Interviews Eric Siegel on Predictive Analytics&#8217; Adoption &#038; Competitive Advantage"},"content":{"rendered":"Dr. Eric Siegel, author of &#8220;Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die&#8221;, answers questions about data, black swans, persuasion models and insights from 147 analytics case studies. Carpe Datum Rx Interview. <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/carpe-datum-interviews-eric-siegel-on-predictiveanalytics-adoption-competitive-advantage\/2284\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Dr. Eric Siegel, author of &#8220;Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die&#8221;, answers questions about data, black swans, persuasion models and insights from 147 analytics case studies. Carpe Datum Rx Interview. (more&hellip;)<\/p>\n","protected":false},"author":2,"featured_media":2286,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[28],"tags":[122,6,8],"class_list":["post-2284","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-videos","tag-carpe-datum-rx","tag-eric-siegel","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2284","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2284"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2284\/revisions"}],"predecessor-version":[{"id":2301,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2284\/revisions\/2301"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/2286"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2284"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}