{"id":2828,"date":"2013-12-19T21:01:04","date_gmt":"2013-12-19T21:01:04","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2828"},"modified":"2013-12-19T21:01:04","modified_gmt":"2013-12-19T21:01:04","slug":"why-not-now-the-barriers-to-adopting-true-predictive-analytics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/why-not-now-the-barriers-to-adopting-true-predictive-analytics\/2828\/","title":{"rendered":"Why not now? The barriers to adopting true predictive analytics."},"content":{"rendered":"While reading Jared Diamond\u2019s excellent book on the rise and subsequent global dominance of Eurasian societies\u00a0Guns, Germs and Steel, I was stopped in my tracks by his chapter on the evolution of technology entitled Necessity\u2019s Mother. Diamond briskly demolishes the commonly-held view that necessity is the mother of invention. In fact he argues that many inventions were developed by curious-minded people or those with a fascination for certain aspects of the technology in question. Rather than satisfying an existing demand, the inventors were the early adopters and consumers were often slow to catch up, only starting to demand <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/why-not-now-the-barriers-to-adopting-true-predictive-analytics\/2828\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>While reading Jared Diamond\u2019s excellent book on the rise and subsequent global dominance of Eurasian societies\u00a0Guns, Germs and Steel, I was stopped in my tracks by his chapter on the evolution of technology entitled Necessity\u2019s Mother. Diamond briskly demolishes the commonly-held view that necessity is the mother of invention. In fact he argues that many [&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-2828","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2828","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=2828"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2828\/revisions"}],"predecessor-version":[{"id":2830,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2828\/revisions\/2830"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2828"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2828"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}