{"id":3604,"date":"2014-05-30T18:44:25","date_gmt":"2014-05-30T18:44:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3604"},"modified":"2014-05-30T18:44:25","modified_gmt":"2014-05-30T18:44:25","slug":"tapping-potential-predictive-analytics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/tapping-potential-predictive-analytics\/3604\/","title":{"rendered":"Tapping the potential of predictive analytics"},"content":{"rendered":"With every business decision comes the need to plan, implement and evaluate so that its overall value can be calculated. But what if government agencies could shorten that process by using existing data to predict people&#8217;s needs and better understand behaviors? Using data to make predictive decisions is not a new trend by any means, but it is something that governments can use to be more efficient. McKinsey and Co. considers the Internet of Things to be one of the most important disruptive technologies that will transform our lives. The Internet of Everything (as Cisco labeled it) will <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/tapping-potential-predictive-analytics\/3604\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>With every business decision comes the need to plan, implement and evaluate so that its overall value can be calculated. But what if government agencies could shorten that process by using existing data to predict people&#8217;s needs and better understand behaviors? Using data to make predictive decisions is not a new trend by any means, [&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],"tags":[],"class_list":["post-3604","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3604","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=3604"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3604\/revisions"}],"predecessor-version":[{"id":3608,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3604\/revisions\/3608"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3604"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3604"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}