{"id":7030,"date":"2015-12-17T09:00:42","date_gmt":"2015-12-17T14:00:42","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7030"},"modified":"2017-04-25T11:50:45","modified_gmt":"2017-04-25T15:50:45","slug":"advanced-analytics-predictions-for-2016","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/advanced-analytics-predictions-for-2016\/7030\/","title":{"rendered":"Advanced Analytics Predictions for 2016"},"content":{"rendered":"More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces \u2013 and, in the long run, may ultimately eliminate \u2013 the need to pull data in to a centralized source such as a data warehouse or analytic sandbox for the purpose of analytics. Instead, given the distributed nature of connected devices and the explosive growth of IoT infrastructures, more organisations will look to execute analytics at the edge, and, as a result, the ability to push analytic capabilities to (and run them <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/advanced-analytics-predictions-for-2016\/7030\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces \u2013 and, in the long run, may ultimately eliminate \u2013 the need to pull data in to a centralized source such as a data warehouse or analytic sandbox for [&hellip;]<\/p>\n","protected":false},"author":625,"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":[59,47,390,8],"class_list":["post-7030","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-data-scientist","tag-manufacturing","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7030","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\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7030"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7030\/revisions"}],"predecessor-version":[{"id":8655,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7030\/revisions\/8655"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7030"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7030"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7030"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}