{"id":13716,"date":"2024-12-14T16:47:36","date_gmt":"2024-12-14T21:47:36","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13716"},"modified":"2024-12-23T09:30:01","modified_gmt":"2024-12-23T14:30:01","slug":"the-quants-dilemma-subjectivity-in-predictive-ais-value","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-quants-dilemma-subjectivity-in-predictive-ais-value\/13716\/","title":{"rendered":"The Quant&#8217;s Dilemma: Subjectivity In Predictive AI&#8217;s Value"},"content":{"rendered":"Originally published in\u00a0Forbes This is the third of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. It&#8217;s an established practice, yet it still hasn\u2019t been standardized. Predictive AI has been improving enterprise operations for decades, but there&#8217;s no broadly adopted process for assessing its potential value and deploying it accordingly. Here\u2019s the standard to live up to. The predictive model-valuation process should look something like this: A savings curve for misinformation detection. The horizontal axis represents the portion of posts manually audited <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-quants-dilemma-subjectivity-in-predictive-ais-value\/13716\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0Forbes This is the third of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. It&#8217;s an established practice, yet it still hasn\u2019t been standardized. Predictive AI has been improving enterprise operations for decades, but there&#8217;s no broadly [&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-13716","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13716","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=13716"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13716\/revisions"}],"predecessor-version":[{"id":13746,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13716\/revisions\/13746"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}