{"id":13494,"date":"2024-04-25T17:20:33","date_gmt":"2024-04-25T21:20:33","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13494"},"modified":"2024-04-25T17:40:27","modified_gmt":"2024-04-25T21:40:27","slug":"survey-machine-learning-projects-still-routinely-fail-to-deploy","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/survey-machine-learning-projects-still-routinely-fail-to-deploy\/13494\/","title":{"rendered":"Survey: Machine Learning Projects Still Routinely Fail to Deploy"},"content":{"rendered":"Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book &#8220;The AI Playbook.&#8221; How often do machine learning projects reach successful deployment? Not often enough. There&#8217;s plenty of industry research showing that ML projects commonly fail to deliver returns, but precious few have gauged the ratio of failure to success from the perspective of data scientists \u2013 the folks who develop the very models these <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/survey-machine-learning-projects-still-routinely-fail-to-deploy\/13494\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book &#8220;The AI Playbook.&#8221; How often do machine learning projects reach successful deployment? [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1,3],"tags":[],"class_list":["post-13494","post","type-post","status-publish","format-standard","hentry","category-leading-blogs","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13494","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\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13494"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13494\/revisions"}],"predecessor-version":[{"id":13504,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13494\/revisions\/13504"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}