{"id":42249,"date":"2025-04-25T15:39:04","date_gmt":"2025-04-25T13:39:04","guid":{"rendered":"https:\/\/device-insight.com\/?p=42249"},"modified":"2026-03-31T16:52:55","modified_gmt":"2026-03-31T14:52:55","slug":"predictive-maintenance-with-ml-ai","status":"publish","type":"post","link":"https:\/\/device-insight.com\/en\/predictive-maintenance-with-ml-ai\/","title":{"rendered":"Data-Driven Maintenance: Let your machines tell you what they need"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"42249\" class=\"elementor elementor-42249 elementor-42248\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d0d092a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d0d092a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c46e876 blog_col\" data-id=\"c46e876\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-783644d elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"783644d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Data-Driven Maintenance: Let your machines tell you what they need<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d38aa9 elementor-widget elementor-widget-post-info\" data-id=\"4d38aa9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-b86a0c7 elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\t<time>April 25, 2025<\/time>\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-808e92e elementor-inline-item\" itemprop=\"about\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-terms\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-post-info__terms-list\">\n\t\t\t\t<a href=\"https:\/\/device-insight.com\/category\/whitepaper\/\" class=\"elementor-post-info__terms-list-item\">Whitepaper<\/a>\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34dbdea elementor-widget elementor-widget-text-editor\" data-id=\"34dbdea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Unplanned machine downtime is one of the biggest challenges in manufacturing. With tightly synchronized just-in-time production, even a short disruption can trigger supply chain delays and enormous costs. In the automotive industry a five-minute production stop can cost up to \u20ac100,000. While preventive maintenance helps mitigate such risks, it\u2019s often based on fixed intervals and may involve replacing components that are still fully operational. Enter Predictive Maintenance in a <a href=\"https:\/\/device-insight.com\/en\/data-driven-factory\/\" data-wplink-edit=\"true\">Data-Driven Factory<\/a>: the promise of preventing failures before they happen through smart data analysis. But does it really work in real life?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f0c66e4 open_modal_btn elementor-widget elementor-widget-ha-modal-popup happy-addon ha-modal-popup happy-addon-pro\" data-id=\"f0c66e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"ha-modal-popup.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"ha-modal-popup-box-wrapper\" data-trigger-type=\"button\">\n\t\t\t\t\t\t\t<div class=\"ha-modal-button-wrapper\">\n\t\t\t\t\t\t\t\t<a class=\"ha-modal-popup-trigger ha-modal-popup-btn\" data-id=\"f0c66e4\" href=\"#\">\n\t\t\tRead whitepaper &quot;Data-Driven Factory&quot;\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\t<div class=\"ha-modal-popup-content-wrapper ha-modal-box ha-modal-position-top-left\" data-id=\"f0c66e4\" data-animation=\"animate__fadeIn\">\n\n\t\t\t\t\t\t\t<div class=\"ha-modal-popup-content-close ha-modal-close-top-right\">\n\t\t\t\t\t<i aria-hidden=\"true\" class=\"hm hm-cross\"><\/i>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t\t<div class=\"ha-modal-animation animate__animated\">\n\t\t\t\t<div class=\"ha-modal-inner\">\n\t\t\t\t\t<div class=\"ha-modal-inner-content\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__image\">\n\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/elementor\/thumbs\/W_Data-Driven-Factory_800x400_EN-r0dv9dtsluxui8eou24ka2acmfdbb3m1vyrezmxeq8.png\" title=\"W_Data-Driven-Factory_800x400_EN\" alt=\"W_Data-Driven-Factory_800x400_EN\" loading=\"lazy\" \/>\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__title\">\n\t\t\t\t\t\t\t\tWhitepaper Data-Driven Factory\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__description\">\n\t\t\t\t\t\t\t\tRead now!\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__shortcode\">\n\t\t\t\t\t\t\t<script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/embed\/v2.js\"><\/script>\n<script>\n  hbspt.forms.create({\n    portalId: \"6621808\",\n    formId: \"0020270e-8c3b-4d39-8c88-23689a59a5fa\"\n  });\n<\/script>\n\n\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-42f5a50 elementor-section-full_width elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"42f5a50\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4b46edb\" data-id=\"4b46edb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4a76b68 elementor-widget elementor-widget-image\" data-id=\"4a76b68\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/04\/Blog-Header-11.jpg\" title=\"Blog Header (11)\" alt=\"Datengetriebene Produktion:\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9abdc4b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9abdc4b\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3954fb5 blog_col\" data-id=\"3954fb5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2c23a76 elementor-widget elementor-widget-heading\" data-id=\"2c23a76\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Predictive Maintenance: A core element of the Data-Driven Factory<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc41bee elementor-widget elementor-widget-text-editor\" data-id=\"bc41bee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Many manufacturers still rely on static maintenance schedules or reactive repairs after failure. This approach either leads to unnecessary servicing or unexpected downtime. <a href=\"https:\/\/device-insight.com\/en\/predictive-maintenance\/\" target=\"_blank\" rel=\"noopener\">Predictive Maintenance<\/a> turns this model on its head \u2013 using real-time operational data to make reliable predictions.<\/p><p>Machine sensors continuously collect values such as temperature, vibration, sound, and pressure. AI-powered systems analyze this data on the fly to detect anomalies and early indicators of failure. These insights enable targeted, cost-effective maintenance before a breakdown occurs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-584ad5a elementor-widget elementor-widget-testimonial\" data-id=\"584ad5a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"testimonial.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-testimonial-wrapper\">\n\t\t\t\t\t\t\t<div class=\"elementor-testimonial-content\"><p>\"Predictive maintenance isn\u2019t an end in itself \u2013 it\u2019s a means to a greater goal: building an intelligent, self-learning production system that goes far beyond reactive maintenance.\" <\/p>\n<\/div>\n\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e5c6055 elementor-widget elementor-widget-text-editor\" data-id=\"e5c6055\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>New developments like Reinforcement Learning take it a step further, dynamically optimizing maintenance plans by identifying ideal service windows based on real-world machine behavior and historical trends. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4e0b9f elementor-widget elementor-widget-heading\" data-id=\"b4e0b9f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data integration: The foundation for ML and AI in manufacturing<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e79f0dd elementor-widget elementor-widget-text-editor\" data-id=\"e79f0dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Yet, smart maintenance isn\u2019t just about sounding alarms. Today\u2019s AI and ML solutions go further \u2013 offering risk assessments, prioritizing actions, and supporting workforce planning. They don\u2019t just reduce unplanned downtime \u2013 they help avoid quality issues caused by worn or faulty components.<\/p><p>To fully harness this potential, manufacturers need a robust data foundation. That means more than just collecting data \u2013 it requires capturing real-time information systematically and making it accessible across systems and departments. Only then can data be turned into reliable, actionable insights. The key enabler? A modern, scalable <a href=\"https:\/\/device-insight.com\/en\/analytics-blog-data-lakehouse\/\">data architecture that integrates data across systems and departments<\/a>. Siloed solutions and fragmented data flows not only hinder efficiency gains, but in the worst case, make the use of ML models impossible. Truly impactful solutions \u2013 whether for predictive maintenance or AI-powered quality control \u2013 can only be achieved when IT and OT are integrated from the ground up.<\/p><p>Here\u2019s how it works in real-world production \u2013 and how machine learning models can reliably detect anomalies using live data. The following project examples show what\u2019s possible.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86d476a elementor-widget elementor-widget-image\" data-id=\"86d476a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"981\" height=\"449\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/04\/csm_Rosenberger-Feb-27-022_1ef1285cb1.jpg\" class=\"attachment-full size-full wp-image-42255\" alt=\"Data-Driven Factory Rosenberger\" srcset=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/04\/csm_Rosenberger-Feb-27-022_1ef1285cb1.jpg 981w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/04\/csm_Rosenberger-Feb-27-022_1ef1285cb1-300x137.jpg 300w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/04\/csm_Rosenberger-Feb-27-022_1ef1285cb1-768x352.jpg 768w\" sizes=\"(max-width: 981px) 100vw, 981px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Image: Rosenberger<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea4fb0c elementor-widget elementor-widget-heading\" data-id=\"ea4fb0c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Spotting issues before they escalate: The Rosenberger example<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-84d63ac elementor-widget elementor-widget-text-editor\" data-id=\"84d63ac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>At <a href=\"https:\/\/www.rosenberger.com\/\" target=\"_blank\" rel=\"noopener\">Rosenberger, a leading manufacturer of high-frequency technology,<\/a>\u00a0quality assurance is business-critical. Up to 120 data points per production line are captured in real time and processed in an integrated analytics workflow. ML models analyze the data to detect anomalies and identify potential sources of defects. <a href=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/02\/Data-Driven-Factory_Use-Case_Rosenberger_EN.pdf\">Instead of being caught in final inspections, quality issues are now flagged and addressed during production.<\/a> The result? Reduced scrap and greater process stability. The solution acts as an early warning system \u2013 bringing scalable, data-driven quality control into everyday production.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6fd549a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6fd549a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-12cc2e2 blog_col\" data-id=\"12cc2e2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ce6508 elementor-widget elementor-widget-heading\" data-id=\"3ce6508\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Boosting OEE with real-time insights: The BRUGG Lifting example<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c100fe elementor-widget elementor-widget-text-editor\" data-id=\"2c100fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/brugglifting.com\/\" target=\"_blank\" rel=\"noopener\">BRUGG Lifting, a specialist in hoisting technology,<\/a>\u00a0uses predictive maintenance to improve Overall Equipment Effectiveness (OEE). Previously, machine data was reviewed manually \u2013 often too late for accurate or timely insights. Now, more than 50 data points per machine are collected in real time and analyzed automatically in a Microsoft Azure cloud platform.<\/p><p>Monthly reports are now ready in minutes. Maintenance needs can be predicted early, and <a href=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/02\/Data-Driven-Factory_Use-Case_Brugg-Lifting_EN.pdf\">thanks to real-time data operators can intervene immediately on critical parameters to avoid downtime.<\/a> The result is smoother operations and a measurable boost in OEE \u2013 hallmarks of a truly data-driven factory.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb01521 elementor-widget elementor-widget-heading\" data-id=\"eb01521\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Humans still matter: The power of process knowledge<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-050afd3 elementor-widget elementor-widget-text-editor\" data-id=\"050afd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>One key to successful predictive maintenance is domain expertise. Data alone isn\u2019t enough \u2013 it must be understood in the specific production context. That\u2019s why involving experienced staff is crucial. Machine operators and technicians offer valuable insights that help refine ML models, especially when external factors like material quality or environmental conditions come into play. When solutions are developed hand-in-hand with the people on the shopfloor, predictions become more accurate \u2013 and adoption of the technology improves significantly.     <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97465b3 elementor-widget elementor-widget-testimonial\" data-id=\"97465b3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"testimonial.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-testimonial-wrapper\">\n\t\t\t\t\t\t\t<div class=\"elementor-testimonial-content\"><p>\"In the data-driven factory, predictive maintenance is closely connected to other data-powered applications \u2013 from automated production planning and AI-driven quality control to intelligent energy management.\"<\/p>\n<\/div>\n\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b1e13d elementor-widget elementor-widget-heading\" data-id=\"2b1e13d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">From pilot to AI-driven operations<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af19b45 elementor-widget elementor-widget-text-editor\" data-id=\"af19b45\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The path to predictive maintenance should start small \u2013 but be built to scale. In the Data-Driven Factory, that often means beginning with a high-priority use case, such as a bottleneck machine or a critical line.<\/p><p>A clean, consistent data stream is essential. Machine data should be captured continuously, ideally using a mix of edge and cloud technologies. <a href=\"https:\/\/device-insight.com\/en\/lp\/whitepaper-data-analytics-in-manufacturing\/\">Silos must be eliminated, interfaces created, and processes sometimes reimagined<\/a>. Once the first use case delivers results, the solution can be scaled to other lines, plants, or even regions. Regular evaluation is key: models need retraining to reflect seasonal or shifting production realities. That\u2019s how predictive maintenance evolves from an isolated solution to a strategic pillar of smart manufacturing.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7502063 elementor-widget elementor-widget-heading\" data-id=\"7502063\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A smarter future: Predictive Maintenance in the digital ecosystem<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f97562 elementor-widget elementor-widget-text-editor\" data-id=\"1f97562\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Predictive Maintenance isn\u2019t an end in itself \u2013 it\u2019s part of a larger vision: building intelligent, self-optimizing production systems. In the Data-Driven Factory, predictive maintenance links tightly with other data-driven applications \u2013 automated production planning, AI-powered quality control, and energy and resource monitoring.  <\/p>\n<p>While no AI can replace human expertise, it expands what people can do \u2013 offering deeper insights, smarter planning, and a clearer view of the factory floor. The future of manufacturing belongs to those who combine data with action. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-29a5dd2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"29a5dd2\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-16b6dd3\" data-id=\"16b6dd3\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-df321dc elementor-widget elementor-widget-image\" data-id=\"df321dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1280\" height=\"960\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN.png\" class=\"attachment-full size-full wp-image-40901\" alt=\"Cover Data-Driven-Factory\" srcset=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN.png 1280w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN-300x225.png 300w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN-1024x768.png 1024w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN-768x576.png 768w, https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/W_Data-Driven-Factory_1280x960_EN-1200x900.png 1200w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-9bf45aa\" data-id=\"9bf45aa\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-29bcdad elementor-widget elementor-widget-heading\" data-id=\"29bcdad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Ready for the next level?<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-19e8575 elementor-widget elementor-widget-text-editor\" data-id=\"19e8575\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Discover how to transform your production with real-time data, machine learning and AI \u2013 download the whitepaper now.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b1186d open_modal_btn elementor-widget elementor-widget-ha-modal-popup happy-addon ha-modal-popup happy-addon-pro\" data-id=\"5b1186d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"ha-modal-popup.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"ha-modal-popup-box-wrapper\" data-trigger-type=\"button\">\n\t\t\t\t\t\t\t<div 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alt=\"W_Data-Driven-Factory_800x400_EN\" loading=\"lazy\" \/>\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__title\">\n\t\t\t\t\t\t\t\tWhitepaper Data-Driven Factory\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__description\">\n\t\t\t\t\t\t\t\tRead now!\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-modal-content__shortcode\">\n\t\t\t\t\t\t\t<script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/embed\/v2.js\"><\/script>\n<script>\n  hbspt.forms.create({\n    portalId: \"6621808\",\n    formId: \"0020270e-8c3b-4d39-8c88-23689a59a5fa\"\n  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data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Recommended Posts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c97e92d elementor-widget elementor-widget-shortcode\" data-id=\"4c97e92d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"teasers teasers-single-post\"><div class=\"teasers__container\"><div class=\"teasers__single-teaser\"><a class=\"thumbnail-link\" href=\"https:\/\/device-insight.com\/en\/data-driven-production\/\"><img decoding=\"async\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2025\/01\/Blog-Header-8-1024x427.jpg\" alt=\"Image\"><\/a><div class=\"teasers__content\"><div 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Consulting<\/a><\/h2><div class=\"description\">How Can IoT and Data Use Cases Be Successfully Implemented?<\/div><\/div><\/div><\/div><\/div>\n<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>How Predictive Maintenance Improves OEE in the Data-Driven Factory.<\/p>\n","protected":false},"author":3,"featured_media":42253,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20],"tags":[165],"class_list":["post-42249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whitepaper","tag-data-lakehouse-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/42249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/comments?post=42249"}],"version-history":[{"count":27,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/42249\/revisions"}],"predecessor-version":[{"id":47380,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/42249\/revisions\/47380"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media\/42253"}],"wp:attachment":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media?parent=42249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/categories?post=42249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/tags?post=42249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}