{"id":13559,"date":"2024-07-08T09:35:54","date_gmt":"2024-07-08T13:35:54","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13559"},"modified":"2024-07-08T09:35:54","modified_gmt":"2024-07-08T13:35:54","slug":"why-you-must-twist-your-data-scientists-arm-to-estimate-ais-value","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/why-you-must-twist-your-data-scientists-arm-to-estimate-ais-value\/13559\/","title":{"rendered":"Why You Must Twist Your Data Scientist&#8217;s Arm To Estimate AI&#8217;s Value"},"content":{"rendered":"Originally published in Forbes, June 11, 2024. If you&#8217;ve ever had a data scientist make a machine learning model for you, you probably first experienced excitement, followed by bewilderment. The potential power is awesome. In its enterprise application,\u00a0predictive AI\u00a0is the antidote to information overload. Too many prospective customers? Use a predictive model to prioritize them from most likely to buy down to least likely. Too many web pages that might have the info you need? Google Search uses\u00a0a model that orders the search results, placing those web pages most likely to pertain at the top. Too many buildings <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/why-you-must-twist-your-data-scientists-arm-to-estimate-ais-value\/13559\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Forbes, June 11, 2024. If you&#8217;ve ever had a data scientist make a machine learning model for you, you probably first experienced excitement, followed by bewilderment. The potential power is awesome. In its enterprise application,\u00a0predictive AI\u00a0is the antidote to information overload. Too many prospective customers? Use a predictive model to prioritize them [&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-13559","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\/13559","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=13559"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13559\/revisions"}],"predecessor-version":[{"id":13562,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13559\/revisions\/13562"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13559"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13559"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}