{"id":3699,"date":"2014-07-08T15:45:01","date_gmt":"2014-07-08T15:45:01","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3699"},"modified":"2014-07-08T15:45:32","modified_gmt":"2014-07-08T15:45:32","slug":"human-element-improves-predictive-analytics-success","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/human-element-improves-predictive-analytics-success\/3699\/","title":{"rendered":"Human Element Improves Predictive Analytics Success"},"content":{"rendered":"While other analytics methods analyze past events, monitor real-time ones, or provide operational reporting, predictive analytics attempts to divine the future. For this reason, predictive analytics resides at the bleeding edge of data science. But predictive analytics isn\u2019t easy, technically or philosophically. \u201cHow do you recognize the inflection points?\u201d asked Thomas Hill, vice president of Analytic Solutions at StatSoft, a 30-year-old data science company that was acquired by Dell in March. Hill delivered a plenary session at the Predictive Analytics World conference in Chicago. Hill acknowledged the most valuable asset in the business world\u2019s surging practice of analytics: <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/human-element-improves-predictive-analytics-success\/3699\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>While other analytics methods analyze past events, monitor real-time ones, or provide operational reporting, predictive analytics attempts to divine the future. For this reason, predictive analytics resides at the bleeding edge of data science. But predictive analytics isn\u2019t easy, technically or philosophically. \u201cHow do you recognize the inflection points?\u201d asked Thomas Hill, vice president of [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-3699","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3699","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=3699"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3699\/revisions"}],"predecessor-version":[{"id":3701,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3699\/revisions\/3701"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}