{"id":614,"date":"2025-12-10T13:34:56","date_gmt":"2025-12-10T12:34:56","guid":{"rendered":"https:\/\/www.elevating-patterns.com\/?p=614"},"modified":"2025-12-23T09:24:16","modified_gmt":"2025-12-23T08:24:16","slug":"22-2025-an-ai-odyssey","status":"publish","type":"post","link":"https:\/\/www.elevating-patterns.com\/index.php\/en\/2025\/12\/10\/22-2025-an-ai-odyssey\/","title":{"rendered":"#22 2025 an AI Odyssey"},"content":{"rendered":"\n<p>In <strong>\u201c2025 an AI Odyssey\u201d<\/strong> we\u2019re back in AI territory \u2014 this time fresh off our <strong>AI Research Day<\/strong>, where <strong>16 people from 12 organizations<\/strong> came together to compare notes, ideas, and hard-earned lessons from the industrial frontlines.<\/p>\n\n\n\n<p>Christian and Michael unpack what makes <strong>industrial AI<\/strong> different from \u201cAI in general\u201d: the stakes are higher, the margins smaller, and \u201cpretty good\u201d isn\u2019t good enough when safety, quality, uptime, and compliance are on the line. We talk about what that means for real-world deployments \u2014 especially when models have to operate in messy, legacy-heavy environments.<\/p>\n\n\n\n<p>We dive into the big topics that shaped the day:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Why industrial AI is special<\/strong> \u2014 and why consumer-style assumptions don\u2019t transfer<\/li>\n\n\n\n<li><strong>Hallucinations in production:<\/strong> how to reduce them, contain them, and design systems that stay trustworthy<\/li>\n\n\n\n<li><strong>Reasoning quality as a requirement:<\/strong> what \u201cgood enough\u201d reasoning looks like for engineering and operations<\/li>\n\n\n\n<li><strong>Reference architectures:<\/strong> do we need one, what should it include, and where do today\u2019s patterns fall short<\/li>\n\n\n\n<li><strong>The elephant in the room:<\/strong> legacy systems with <strong>little to no semantics<\/strong> \u2014 and how that blocks real AI value<\/li>\n<\/ul>\n\n\n\n<p>And finally, we tackle the key question: <em>How can we actually leverage industrial data if it doesn\u2019t come with rich meaning?<\/em><br>Our answer: <strong>you need a Digital Thread system<\/strong> that introduces semantics, connects context across tools and lifecycle stages, and turns data into something AI can reason over \u2014 not just statistically, but <strong>engineerably<\/strong>.<\/p>\n\n\n\n<p>If you\u2019re building or evaluating AI for industrial use cases \u2014 or you\u2019re wondering why pilots stall after the demo \u2014 this episode is your map for the odyssey ahead.<\/p>\n<div class=\"powerpress_player\" id=\"powerpress_player_8791\"><audio class=\"wp-audio-shortcode\" id=\"audio-614-1\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/mpeg\" src=\"https:\/\/www.elevating-patterns.com\/wp-content\/uploads\/2025\/12\/21.m4a?_=1\" \/><a href=\"https:\/\/www.elevating-patterns.com\/wp-content\/uploads\/2025\/12\/21.m4a\">https:\/\/www.elevating-patterns.com\/wp-content\/uploads\/2025\/12\/21.m4a<\/a><\/audio><\/div><p class=\"powerpress_links powerpress_links_m4a\" style=\"margin-bottom: 1px !important;\">Podcast: <a href=\"https:\/\/www.elevating-patterns.com\/wp-content\/uploads\/2025\/12\/21.m4a\" class=\"powerpress_link_pinw\" target=\"_blank\" title=\"Play in new window\" onclick=\"return powerpress_pinw('https:\/\/www.elevating-patterns.com\/?powerpress_pinw=614-podcast');\" rel=\"nofollow\">Play in new window<\/a> | <a href=\"https:\/\/www.elevating-patterns.com\/wp-content\/uploads\/2025\/12\/21.m4a\" class=\"powerpress_link_d\" title=\"Download\" rel=\"nofollow\" download=\"21.m4a\">Download<\/a> ()<\/p>","protected":false},"excerpt":{"rendered":"<p>In \u201c2025 an AI Odyssey\u201d we\u2019re back in AI territory \u2014 this time fresh off our AI Research Day, where 16 people from 12 organizations came together to compare notes, ideas, and hard-earned lessons from the industrial frontlines. Christian and Michael unpack what makes industrial AI different from \u201cAI in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":616,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[20],"tags":[],"class_list":["post-614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-antipatternpodcast"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>#22 2025 an AI Odyssey - Elevating Patterns<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.elevating-patterns.com\/index.php\/en\/2025\/12\/10\/22-2025-an-ai-odyssey\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"#22 2025 an AI Odyssey - Elevating Patterns\" \/>\n<meta property=\"og:description\" content=\"In \u201c2025 an AI Odyssey\u201d we\u2019re back in AI territory \u2014 this time fresh off our AI Research Day, where 16 people from 12 organizations came together to compare notes, ideas, and hard-earned lessons from the industrial frontlines. 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