{"id":905,"date":"2013-05-02T13:59:04","date_gmt":"2013-05-02T13:59:04","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/_dev\/magazine\/?p=905"},"modified":"2013-05-02T18:06:13","modified_gmt":"2013-05-02T18:06:13","slug":"obama-campaign-misjudged-mac-users-based-on-orbitzs-experience-says-chief-data-scientist","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/obama-campaign-misjudged-mac-users-based-on-orbitzs-experience-says-chief-data-scientist\/905\/","title":{"rendered":"Obama Campaign Misjudged Mac Users Based On Orbitz&#8217;s Experience, Says Chief Data Scientist"},"content":{"rendered":"The Obama campaign&#8217;s chief data scientist Rayid Ghani will once again keynote at Predictive Analytics World in Chicago, June 10-13, 2013 Much has been written about the Obama campaign&#8217;s technological advantage in the last election and how the campaign&#8217;s 50+ quants mastered the dark art of big data analysis to rally voters and raise money. Headlines like this one from CNN &ndash; &#8220;How Obama&#8217;s data crunchers helped him win&#8221; &ndash; abounded in the months after the electoral victory. The campaign tracked responses to emails, linked online and offline data for voters, and gave everyone in the country a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/obama-campaign-misjudged-mac-users-based-on-orbitzs-experience-says-chief-data-scientist\/905\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The Obama campaign&#8217;s chief data scientist Rayid Ghani will once again keynote at Predictive Analytics World in Chicago, June 10-13, 2013 Much has been written about the Obama campaign&#8217;s technological advantage in the last election and how the campaign&#8217;s 50+ quants mastered the dark art of big data analysis to rally voters and raise money. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":957,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-905","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/905","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=905"}],"version-history":[{"count":14,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/905\/revisions"}],"predecessor-version":[{"id":907,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/905\/revisions\/907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/957"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=905"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=905"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}