{"id":13816,"date":"2025-04-07T11:11:02","date_gmt":"2025-04-07T15:11:02","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13816"},"modified":"2025-04-07T11:12:36","modified_gmt":"2025-04-07T15:12:36","slug":"predictive-ai-genai-the-wfm-game-changer-hidden-in-plain-sight","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-ai-genai-the-wfm-game-changer-hidden-in-plain-sight\/13816\/","title":{"rendered":"Predictive AI + GenAI: The WFM Game-Changer Hidden in Plain Sight"},"content":{"rendered":"Originally published on\u00a0LinkedIn, April 1, 2025. In my previous newsletters, we&#8217;ve explored how contact centers thrive when viewed as interconnected ecosystems\u2014from WFM maturity models that reveal organizational health to risk-rated capacity plans that build resilience. We&#8217;ve examined the hidden goldmines in your IVR and the power of systems thinking to break down operational silos. Today, I want to focus on what might be the most underutilized opportunity in contact center optimization: making predictive AI accessible to frontline WFM leaders through the power of generative AI. Cutting Through the AI Hype In a recent Big Think video, Eric Siegel <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-ai-genai-the-wfm-game-changer-hidden-in-plain-sight\/13816\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published on\u00a0LinkedIn, April 1, 2025. In my previous newsletters, we&#8217;ve explored how contact centers thrive when viewed as interconnected ecosystems\u2014from WFM maturity models that reveal organizational health to risk-rated capacity plans that build resilience. We&#8217;ve examined the hidden goldmines in your IVR and the power of systems thinking to break down operational silos. Today, [&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":[11,48],"tags":[],"class_list":["post-13816","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13816","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=13816"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13816\/revisions"}],"predecessor-version":[{"id":13820,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13816\/revisions\/13820"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13816"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13816"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13816"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}