{"id":13823,"date":"2025-04-22T04:24:04","date_gmt":"2025-04-22T08:24:04","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13823"},"modified":"2025-04-22T04:24:04","modified_gmt":"2025-04-22T08:24:04","slug":"predictive-ai-usually-fails-because-its-not-usually-valuated","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-ai-usually-fails-because-its-not-usually-valuated\/13823\/","title":{"rendered":"Predictive AI Usually Fails Because It\u2019s Not Usually Valuated"},"content":{"rendered":"Originally published in\u00a0Forbes Why in the world would the decades-old industry of machine learning need a completely new paradigm? Imagine you&#8217;re developing a rocket. If you don\u2019t stress test it\u2014in its intended usage (via simulations, wind tunnels, etc.)\u2014then its launch will be a shot in the dark, if not entirely scrubbed by sensible decision makers. That\u2019s the status of most enterprise ML projects, aka predictive AI. The industry hasn&#8217;t matured to the point where such pre-launch stress testing is commonplace. As a result, most predictive AI deployments are scrubbed. Its great potential is clear and many projects achieve <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-ai-usually-fails-because-its-not-usually-valuated\/13823\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0Forbes Why in the world would the decades-old industry of machine learning need a completely new paradigm? Imagine you&#8217;re developing a rocket. If you don\u2019t stress test it\u2014in its intended usage (via simulations, wind tunnels, etc.)\u2014then its launch will be a shot in the dark, if not entirely scrubbed by sensible decision makers. [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-13823","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13823","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\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13823"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13823\/revisions"}],"predecessor-version":[{"id":13824,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13823\/revisions\/13824"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}