{"id":4807,"date":"2015-01-30T15:56:25","date_gmt":"2015-01-30T15:56:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4807"},"modified":"2015-01-30T15:56:34","modified_gmt":"2015-01-30T15:56:34","slug":"analytics-2015-bi-dead-predictive-new-black","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-2015-bi-dead-predictive-new-black\/4807\/","title":{"rendered":"Analytics 2015: &#8216;BI is dead: Predictive is the new black&#8217;"},"content":{"rendered":"2015 will be the year that predictive analytics obtains significant market gains in everything from the industrial Internet to consumer devices. Here\u2019s what Simon Arkell, CEO, Predixion Software, expects predictive analytics to look like in 2015: Predictive analytics will be a key differentiator for modern apps: Embedded predictive analytics\u2014whether embedded in existing applications and workflows, on devices, in memory or in real-time analytics systems\u2014will become the key differentiator for modern apps. Consumers will expect their software to anticipate their needs, driving requirements for predictive capabilities in all apps. Spatially aware apps will become more intelligent and more common <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-2015-bi-dead-predictive-new-black\/4807\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>2015 will be the year that predictive analytics obtains significant market gains in everything from the industrial Internet to consumer devices. Here\u2019s what Simon Arkell, CEO, Predixion Software, expects predictive analytics to look like in 2015: Predictive analytics will be a key differentiator for modern apps: Embedded predictive analytics\u2014whether embedded in existing applications and workflows, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[59,166,47,135,8,127],"class_list":["post-4807","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-data-science","tag-data-scientist","tag-internet-of-things","tag-predictive-analytics","tag-predixion-software"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4807","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=4807"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4807\/revisions"}],"predecessor-version":[{"id":4808,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4807\/revisions\/4808"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4807"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4807"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4807"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}