{"id":14059,"date":"2026-01-05T05:41:37","date_gmt":"2026-01-05T10:41:37","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=14059"},"modified":"2026-01-06T06:51:09","modified_gmt":"2026-01-06T11:51:09","slug":"ai-business-value-is-not-an-oxymoron-how-predictive-ai-delivers-real-roi-for-enterprises","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ai-business-value-is-not-an-oxymoron-how-predictive-ai-delivers-real-roi-for-enterprises\/14059\/","title":{"rendered":"AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises"},"content":{"rendered":"Originally published in\u00a0AI Realized Now \u201cShouldn\u2019t a great model be a sure bet to deploy?\u201d Eric Siegel opened his AI Realized keynote by answering his own question. A technically strong model is not a sure bet, he argued, because value does not come from accuracy alone. It comes from deployment decisions that are justified in the language of business, not in the language of data science. Until a model\u2019s impact is estimated in terms of profit, savings, or other concrete KPIs, it remains a science project, not an operational asset. That tension sat at the heart of his <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ai-business-value-is-not-an-oxymoron-how-predictive-ai-delivers-real-roi-for-enterprises\/14059\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0AI Realized Now \u201cShouldn\u2019t a great model be a sure bet to deploy?\u201d Eric Siegel opened his AI Realized keynote by answering his own question. A technically strong model is not a sure bet, he argued, because value does not come from accuracy alone. It comes from deployment decisions that are justified in [&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-14059","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14059","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=14059"}],"version-history":[{"count":8,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14059\/revisions"}],"predecessor-version":[{"id":14068,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14059\/revisions\/14068"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=14059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=14059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=14059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}