{"id":31353,"date":"2026-04-13T12:18:01","date_gmt":"2026-04-13T12:18:01","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=31353"},"modified":"2026-04-13T12:18:01","modified_gmt":"2026-04-13T12:18:01","slug":"gp-lab-launch-highlights-aix-in-event-industry","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/martech\/customer-experience\/gp-lab-launch-highlights-aix-in-event-industry\/","title":{"rendered":"\u30a4\u30d9\u30f3\u30c8\u696d\u754c\u306b\u304a\u3051\u308bAIx\u306b\u6ce8\u76ee\u3057\u305fGP\u30e9\u30dc\u306e\u7acb\u3061\u4e0a\u3052"},"content":{"rendered":"<p><a href=\"https:\/\/www.global-produce.jp\/\">Global Produce<\/a> has set up GP Lab in April 2026, a dedicated unit to push AI from theory into actual event execution. The intent is clear. You should begin using AI for your planning work and your on-site operations and your analysis of data after events.<\/p>\n<p>The worldwide transition has already begun. Event platforms are using AI for matchmaking and they provide real-time recommendations and they use AI-powered hosts during their on-stage performances. Meanwhile in Japan, most teams are still figuring out basic use cases. That gap is exactly what GP Lab is trying to close.<\/p>\n<p>The approach is not just experimentation. It is structured. Internal training, real project integration, and a proprietary platform called GP EARTH that turns past event data into decision-making logic. Instead of relying on gut feel, event design starts becoming explainable and repeatable.<\/p>\n<h4>\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a <a class=\"p-url\" href=\"https:\/\/itbusinesstoday.com\/ja\/martech\/customer-experience\/chatbots-are-now-insight-engines-not-just-support-tools\/\" rel=\"bookmark\">\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306f\u5358\u306a\u308b\u30b5\u30dd\u30fc\u30c8\u30c4\u30fc\u30eb\u3067\u306f\u306a\u304f\u3001\u30a4\u30f3\u30b5\u30a4\u30c8\u30a8\u30f3\u30b8\u30f3\u306b<\/a><\/h4>\n<p>There is also a clear prioritization. Start with backend AI like recommendations and analytics, then move toward physical AI like digital hosts and immersive experiences.<\/p>\n<p>Zoom out and this is part of a larger shift. Events are moving from manual coordination to data-driven systems. If GP Lab delivers, it does not just upgrade one company\u2019s workflow. It pushes an entire industry that has been slow to adapt into a more measurable and scalable model.<\/p>","protected":false},"excerpt":{"rendered":"<p>Global Produce has set up GP Lab in April 2026, a dedicated unit to push AI from theory into actual event execution. The intent is clear. You should begin using AI for your planning work and your on-site operations and your analysis of data after events. The worldwide transition has already begun. Event platforms are using AI for matchmaking and they provide real-time recommendations and they use AI-powered hosts during their on-stage performances. Meanwhile in Japan, most teams are still figuring out basic use cases. That gap is exactly what GP Lab is trying to close. The approach is not just experimentation. It is structured. Internal training, real project integration, [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":31399,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[208,188,211,92,237,1838,206],"tags":[7375,428,12482,12481,5296],"ppma_author":[572],"class_list":{"0":"post-31353","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-apac","8":"category-customer-experience","9":"category-japan","10":"category-martech","11":"category-news","12":"category-quick-reads","13":"category-regional","14":"tag-ai-research","15":"tag-customer-experience","16":"tag-global-produce","17":"tag-gp-lab","18":"tag-physical-ai"},"yoast_head":"<!-- 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