{"id":46580,"date":"2025-01-12T12:40:19","date_gmt":"2025-01-12T11:40:19","guid":{"rendered":"https:\/\/trackunit.com\/?post_type=webinar&#038;p=46580"},"modified":"2025-11-19T10:32:59","modified_gmt":"2025-11-19T09:32:59","slug":"ai-in-construction-oem-perspective","status":"publish","type":"video","link":"https:\/\/trackunit.com\/fr\/videos\/ai-in-construction-oem-perspective\/","title":{"rendered":"AI in construction: An OEM perspective on intelligent machines"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-key-takeaways-from-the-conversation\">Key takeaways from the conversation<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI is transforming OEM\u2013customer relationships.<\/strong> From predictive service to automated parts delivery, OEMs can use AI to build loyalty and reduce downtime.<\/li>\n\n\n\n<li><strong>The next frontier is AI at the edge. <\/strong>Small, efficient models will soon run inside machines, enabling local decision-making and real-time insights.<\/li>\n\n\n\n<li><strong>Cognitive digital twins are emerging. <\/strong>Machines will no longer just report data \u2014 they\u2019ll interpret their own health and recommend action.<\/li>\n\n\n\n<li><strong>Collaboration drives progress.<\/strong> The OEMs embracing data-sharing and experimentation today will lead the industry\u2019s AI-powered future.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-ai-in-construction-redefining-the-oem-opportunity\">AI in construction: Redefining the OEM opportunity<\/h2>\n\n\n\n<p>For OEMs, AI in construction is not a distant concept \u2014 it\u2019s the foundation for the next phase of growth. As Mikkel Dalgas, CTO at Trackunit, explains, early adopters are already using AI to make their manuals, diagnostics, and technical knowledge more accessible.<\/p>\n\n\n\n<p>\u201cWe\u2019re starting to see OEMs leverage AI to make expertise instantly available to customers \u2014 finding the right spare part, identifying an error, or troubleshooting before a breakdown ever happens.\u201d<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cAI allows OEMs to strengthen relationships and boost loyalty. Imagine a future where a virtual agent ships the right part before a human even picks up the phone.\u201d \u2014 Mikkel Dalgas<\/p>\n<\/blockquote>\n\n\n\n<p>The Deloitte 2025 Smart Manufacturing and Operations Survey found that <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/industry\/manufacturing-industrial-products\/2025-smart-manufacturing-survey.html\">92% of manufacturers<\/a> view smart manufacturing as the main driver of competitiveness over the next three years, and nearly a third already deploy AI or machine-learning at facility level. These findings underline how quickly data-driven operations are becoming central to OEM strategy.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"878\" height=\"1024\" src=\"https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/constrution-machines-depot-878x1024.jpg\" alt=\"A row of bright orange Hitachi excavators with raised arms is parked on a lot, showing construction equipment and fleet management.\" class=\"wp-image-56164\" srcset=\"https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/constrution-machines-depot-878x1024.jpg 878w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/constrution-machines-depot-257x300.jpg 257w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/constrution-machines-depot-768x896.jpg 768w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/constrution-machines-depot.jpg 1200w\" sizes=\"(max-width: 878px) 100vw, 878px\" \/><figcaption class=\"wp-element-caption\">AI turns connected machines into intelligent systems, helping OEMs monitor performance and design smarter, more efficient equipment.<\/figcaption><\/figure>\n\n\n\n<p>This shift marks a fundamental change: manufacturers are moving from selling machines to delivering intelligence as a service.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-smarter-service-stronger-relationships\">Smarter service, stronger relationships<\/h2>\n\n\n\n<p>The aftermarket journey \u2014 from maintenance to repair \u2014 is one of the richest areas for AI innovation. By connecting equipment data with customer support, OEMs can predict and resolve issues faster, reducing costs and elevating the ownership experience.<\/p>\n\n\n\n<p>Dalgas notes that this isn\u2019t just about technology. It\u2019s about trust and accessibility. \u201cWhen AI understands your machine and your language, it can provide support that feels truly personal &#8211; moving from static manuals to meaningful dialogue.\u201d<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cAI gives OEMs the ability to deliver expertise at scale \u2014 turning every service interaction into a moment of value, not frustration.\u201d \u2014 Mikkel Dalgas<\/p>\n<\/blockquote>\n\n\n\n<p>This customer-centric model transforms service from reactive troubleshooting into proactive value creation \u2014 a new way for OEMs to differentiate in a competitive landscape.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-ai-moves-to-the-edge\">AI moves to the edge<\/h2>\n\n\n\n<p>While cloud-based analytics have defined the last decade, the next leap for AI in construction lies in edge intelligence \u2014 embedding AI models directly inside telematics units and machine controllers.<\/p>\n\n\n\n<p>Dalgas explains, \u201cWe\u2019ll soon see small, purpose-built AI models running inside the machine itself. They\u2019ll monitor performance, interpret data, and guide operators in real time.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"819\" height=\"1024\" src=\"https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/construction-site-ai-819x1024.jpg\" alt=\"Large yellow excavators and CAT construction vehicles work on a muddy site under cloudy skies, illustrating a connected jobsite.\" class=\"wp-image-56166\" srcset=\"https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/construction-site-ai-819x1024.jpg 819w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/construction-site-ai-240x300.jpg 240w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/construction-site-ai-768x960.jpg 768w, https:\/\/trackunit.com\/wp-content\/uploads\/2025\/01\/construction-site-ai.jpg 1200w\" sizes=\"(max-width: 819px) 100vw, 819px\" \/><figcaption class=\"wp-element-caption\">AI-powered diagnostics give technicians real-time insights, allowing OEMs to predict issues, prevent downtime, and enhance customer trust.<\/figcaption><\/figure>\n\n\n\n<p>A <a href=\"https:\/\/www.mckinsey.com\/capabilities\/operations\/our-insights\/rewiring-maintenance-with-gen-ai\">McKinsey analysis<\/a> on generative AI in maintenance found that applying intelligent systems to asset health and service operations can improve uptime by as much as 20\u201330 percent through faster issue detection and resolution. For OEMs, this kind of edge capability brings intelligence directly to the machine, minimizing latency and dependency on cloud connectivity.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cEdge AI will redefine how machines understand themselves \u2014 diagnosing faults, analyzing context, and helping operators take the right action before downtime happens.\u201d \u2014 Mikkel Dalgas<\/p>\n<\/blockquote>\n\n\n\n<p>This evolution mirrors what\u2019s already happening in consumer tech, where companies like Apple are integrating compact AI models into mobile devices. The same principle is now reaching heavy equipment \u2014 bringing machine learning literally closer to the metal.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-digital-twins-are-becoming-cognitive-systems\">How digital twins are becoming cognitive systems<\/h2>\n\n\n\n<p>The concept of the digital twin, a virtual model of a machine, is familiar territory for OEMs. But Dalgas sees the next step emerging quickly: the cognitive digital twin.<\/p>\n\n\n\n<p>\u201cA digital twin shows you what\u2019s happening. A cognitive twin tells you why and what to do next,\u201d he says. These AI-driven twins will interpret sensor data, recognize anomalies, and even express an opinion about the machine\u2019s health.<\/p>\n\n\n\n<p>According to the <a href=\"https:\/\/www.weforum.org\/stories\/2024\/06\/digital-twins-and-industrial-clusters-are-about-to-change-the-face-of-manufacturing\/\">World Economic Forum<\/a>, digital-twin ecosystems are evolving into intelligent networks that connect OEMs, suppliers, and operators in real time. For equipment manufacturers, this will enable smarter design loops, faster innovation, and machines that continuously learn from field performance.<\/p>\n\n\n\n<p>This evolution marks a powerful new phase in machine intelligence that blends data science with decades of engineering knowledge.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-eliminating-downtime-through-intelligence\">Eliminating downtime through intelligence<\/h2>\n\n\n\n<p>At the heart of every OEM innovation is a shared goal: eliminate downtime. For years, the industry has been data rich but insight poor. AI changes that equation by transforming raw data into actionable intelligence.<\/p>\n\n\n\n<p>\u201cWe\u2019ve collected data for years but struggled to monetize it,\u201d Dalgas reflects. \u201cAI gives OEMs a way to turn that data into insight, accelerating uptime, reducing cost, and building better machines.\u201d<\/p>\n\n\n\n<p>AI in construction is not a futuristic concept. It is the practical toolkit for OEMs ready to lead the industry\u2019s digital transformation.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-about-the-series-ai-in-construction\">About the series: AI in Construction<\/h2>\n\n\n\n<p>AI is changing the game for the construction industry, unlocking new possibilities in efficiency, safety, and collaboration. In this series, industry leaders and experts dive into how AI is being integrated across workflows, overcoming key challenges and paving the way for more intelligent, innovative construction practices. Whether it\u2019s predictive maintenance, workforce transformation, or data-driven decision-making, we\u2019ll uncover how AI is driving progress and shaping what\u2019s next for construction.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is redefining how original equipment manufacturers design, build, and service machines. In this conversation, Mikkel Dalgas, CTO at Trackunit, shares how AI in construction is accelerating innovation across the OEM landscape.<\/p>\n","protected":false},"author":10,"featured_media":47083,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","categories":[175,23],"tags":[],"class_list":["post-46580","video","type-video","status-publish","has-post-thumbnail","hentry","category-ai-in-construction","category-digitalization"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI in construction: An OEM perspective on intelligent machines<\/title>\n<meta name=\"description\" content=\"Discover how OEMs use AI in construction to build smarter machines, boost customer loyalty, and eliminate downtime.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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