{"id":49424,"date":"2026-09-30T11:18:19","date_gmt":"2026-09-30T09:18:19","guid":{"rendered":"https:\/\/device-insight.com\/?p=49424"},"modified":"2026-10-27T11:00:25","modified_gmt":"2026-10-27T10:00:25","slug":"what-makes-a-data-platform-ai-ready","status":"publish","type":"post","link":"https:\/\/device-insight.com\/en\/what-makes-a-data-platform-ai-ready\/","title":{"rendered":"Great AI Model, Wrong Foundation? What Makes a Data Platform AI-Ready"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"49424\" class=\"elementor elementor-49424 elementor-49423\" 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\">Great AI Model, Wrong Foundation? What Makes a Data Platform AI-Ready<\/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>2026\/09\/30<\/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\/news\/\" class=\"elementor-post-info__terms-list-item\">News<\/a>, <a href=\"https:\/\/device-insight.com\/en\/category\/news-en\/\" class=\"elementor-post-info__terms-list-item\">News<\/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>In the <a href=\"https:\/\/device-insight.com\/it-modernisierung-ai-readiness\/\">first part of our series<\/a>, we explored why IT modernization is essential to AI readiness. This article takes the discussion a step further and looks at another obstacle that often prevents promising machine learning prototypes from making it into production: the data platform behind them.<\/p><p>A model may perform well in a controlled environment, yet struggle when faced with the demands of daily operations. That&#8217;s because successful AI deployment depends less on the model itself than on the platform supporting it. Here&#8217;s what matters.<\/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-6e4d698 elementor-section-full_width elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"6e4d698\" 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-aa3afcd\" data-id=\"aa3afcd\" 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-1139a7a elementor-widget elementor-widget-image\" data-id=\"1139a7a\" 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\/09\/Vorlage_Bilder_1920-x-1080-px.jpg\" title=\"Consulting Solution Envisioning\" alt=\"Solution Envisioning Workshop with Device Insight\" 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-3fae191 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3fae191\" 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-234cd3ea blog_col\" data-id=\"234cd3ea\" 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-32232a45 ha-has-bg-overlay elementor-widget elementor-widget-text-editor\" data-id=\"32232a45\" 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<h4>Key Takeaways:<\/h4><ul><li data-section-id=\"t3ena5\" data-start=\"265\" data-end=\"485\"><p><strong>The data platform can make or break an AI project.<\/strong> Getting AI into production takes more than choosing the right model. It requires a data foundation that scales with operational demands, supports reuse across applications, and provides full visibility into where data comes from.<\/p><\/li><li data-section-id=\"t3ena5\" data-start=\"265\" data-end=\"485\"><p><strong>True data sovereignty requires both flexibility and governance.<\/strong> In daily operations, where your data is hosted matters less than whether you can move it, control access, and track how it is used. These capabilities allow companies to scale without unnecessary vendor lock-in while retaining long-term control over their data.<\/p><\/li><li data-section-id=\"t3ena5\" data-start=\"265\" data-end=\"485\"><p><strong>Gartner predicts that more than 40% of agentic AI projects could be canceled by the end of 2027.<\/strong> To make AI agents sustainable across an organization, companies need a central AI Operating System built on a shared data foundation. This prevents each department from having to build every new AI application from scratch.<\/p><\/li><li data-section-id=\"t3ena5\" data-start=\"265\" data-end=\"485\"><p><strong>KUKA and a German machine manufacturer with 2,500 connected pumps in the field showcase<\/strong> how a well-designed industrial data platform enables AI applications to run reliably in production and scale across operations.<\/p><\/li><\/ul>\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-636c18f9 elementor-widget elementor-widget-heading\" data-id=\"636c18f9\" 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\"><br>Why AI Pilots Keep Getting Stuck<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4de9ceb8 elementor-widget elementor-widget-text-editor\" data-id=\"4de9ceb8\" 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>It&#8217;s a familiar situation in German industrial companies. According to Bitkom&#8217;s <a href=\"https:\/\/www.bitkom.org\/Bitkom\/Publikationen\/Kuenstliche-Intelligenz-in-Deutschland\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence 2025 study<\/a>, 53% of companies cite a lack of technical expertise as a barrier to AI adoption, while 36% point to insufficient quality of results.<\/p><p>These findings reflect what we see in practice. The real challenge is not building the first proof of concept. It&#8217;s turning a promising pilot into a reliable production system.<\/p><p>Interestingly, poor data quality is not always the main culprit. Often, the underlying data infrastructure simply wasn&#8217;t designed to handle the demands of live operations.<\/p><p>A pilot typically runs on a manageable, carefully curated dataset. Production is a different story. Data streams in continuously from machines, plants, and sensors, often at different frequencies and with varying levels of quality.<\/p><p>Unclear responsibilities add another layer of complexity. Who owns the data? The business department, IT, or the data science team? Without a clear answer, coordination becomes difficult at every interface.<\/p><p>Then there&#8217;s the problem of isolated solutions. An AI application that works well at one plant may be difficult to roll out at another because the underlying data platform was never designed for reuse.<\/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-31bd11f1 elementor-widget elementor-widget-heading\" data-id=\"31bd11f1\" 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\">Four Warning Signs Your Data Platform Isn't AI-Ready<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78f669f9 elementor-widget elementor-widget-text-editor\" data-id=\"78f669f9\" 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>How can companies tell whether their existing data platform is ready to support AI in production, potentially across multiple sites? Four warning signs are particularly revealing:<\/p><ol><li>Every use case starts from scratch. Reusability was never part of the original design. Each new AI project requires its own data preparation, pipelines, and rules.<\/li><li>The platform cannot scale dynamically. As data volumes grow or new plants and machines are connected, the infrastructure quickly reaches its limits.<\/li><li>Data lineage and history are unclear. No one can reliably trace where a particular data point originated, which transformations it has undergone, or how current it is.<\/li><li>Missing values are handled inconsistently. Different teams or applications interpret gaps in the data differently, undermining the consistency and reliability of AI results.<\/li><\/ol><p>If any of these issues sound familiar, it&#8217;s worth taking a closer look at your data platform before investing in additional AI use cases.<\/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-inner-section elementor-element elementor-element-98f55cb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"98f55cb\" 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\t<div class=\"elementor-background-overlay\"><\/div>\n\t\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-inner-column elementor-element elementor-element-522c869e\" data-id=\"522c869e\" 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-a9ddd7d elementor-widget elementor-widget-menu-anchor\" data-id=\"a9ddd7d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"executive-insights\"><\/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-40b71c47 elementor-widget elementor-widget-heading\" data-id=\"40b71c47\" 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\">Download our Executive Guide<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-349277e3 elementor-widget elementor-widget-text-editor\" data-id=\"349277e3\" 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 data-pm-slice=\"1 1 []\">Sound familiar? If you&#8217;ve spotted any of these warning signs, our Executive Guide is a great place to start. Discover how Data, Operations, and IT teams can get their data platforms ready for AI, with real-world success stories and practical migration examples to guide you.<\/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-1263abd3 open_modal_btn elementor-widget elementor-widget-ha-modal-popup happy-addon ha-modal-popup happy-addon-pro\" data-id=\"1263abd3\" 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=\"1263abd3\" href=\"#\">\n\t\t\tREad the e-paper\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=\"1263abd3\" 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 fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"852\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1.png\" class=\"attachment-full size-full wp-image-48279\" alt=\"\" srcset=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1.png 1280w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1-300x200.png 300w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1-1024x682.png 1024w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1-768x511.png 768w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/DI_Brochure_Modernization_EN-1-1200x799.png 1200w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\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\tExecutive Guide: IT Modernization\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: \"59145ad4-cf1d-4e74-9127-eec37fdbfea9\",\n    region: \"na1\"\n  });\n<\/script>\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-8915274 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8915274\" 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-440ec8d8 blog_col\" data-id=\"440ec8d8\" 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-2f2a358c elementor-widget elementor-widget-heading\" data-id=\"2f2a358c\" 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 Sovereignty: What Really Matters<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d3733b9 elementor-widget elementor-widget-text-editor\" data-id=\"5d3733b9\" 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<div class=\"elementor-element elementor-element-62826ed elementor-widget elementor-widget-text-editor\" data-id=\"62826ed\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><div class=\"elementor-text-editor elementor-clearfix\"><p>Data sovereignty is a recurring topic in discussions about data platforms. It&#8217;s often viewed through a political or regulatory lens, particularly when it comes to <a href=\"https:\/\/device-insight.com\/digitale-souveranitat-aws-cloud-fur-europa\/\">cloud provider selection or the EU Data Act<\/a>. But when designing a data platform, sovereignty has a very practical meaning. First, there&#8217;s data portability. Can the company move its data to another cloud or platform provider without major obstacles? Equally important is the ability to control who can access which data, scale the platform without becoming dependent on a single vendor, and maintain a complete record of who has accessed or modified information.<\/p><p>In daily operations, these capabilities often matter far more than the physical location of cloud infrastructure. They determine how much control a company truly has over its data and AI solutions.<\/p><\/div><\/div><\/div>\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-0882a3f elementor-widget elementor-widget-heading\" data-id=\"0882a3f\" 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\">Lakehouse, Fabric, Databricks: Technology Comes Last<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e59919 elementor-widget elementor-widget-text-editor\" data-id=\"1e59919\" 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<div class=\"elementor-element elementor-element-62826ed elementor-widget elementor-widget-text-editor\" data-id=\"62826ed\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><div class=\"elementor-text-editor elementor-clearfix\"><p>Few topics generate as much debate in digital transformation projects as platform selection. Data lakehouse, Microsoft Fabric, Databricks: the number of technologies and competing claims seems to grow faster than most organizations can meaningfully evaluate them. But choosing a technology shouldn&#8217;t be the starting point.<\/p><p>Before committing to a platform, companies need to answer two questions:<\/p><ul><li>What specific problem are we trying to solve?<\/li><li>Who will use the solution? Data engineers working directly with complex architectures, or business users who need simple, intuitive access to information?<\/li><\/ul><p>Governance should take priority over vendor selection. Who can access which data? How will quality be maintained? How can data and its transformations be traced? For a closer look at different lakehouse approaches, see <a href=\"https:\/\/device-insight.com\/analytics-blog-data-lakehouse\/\">our article on data lakehouse architectures<\/a>.<\/p><p>One factor is particularly easy to underestimate when building AI solutions for industry: industrial data is fundamentally different from conventional business data. It includes time series and sensor readings, often with timestamps that aren&#8217;t synchronized across machines and systems. Images and text from maintenance records or quality inspections add further complexity. Making sense of this variety requires consistent semantics: a shared understanding of what data means and how it should be interpreted and transformed. Without that common foundation, even the most modern platform becomes a patchwork of disconnected solutions, leading to costly rework down the road.<\/p><\/div><\/div><\/div>\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-223ac97a elementor-widget elementor-widget-heading\" data-id=\"223ac97a\" 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\">Three Governance Essentials for a Production-Ready Data Platform<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42b2d02 elementor-widget elementor-widget-text-editor\" data-id=\"42b2d02\" 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>For a data platform to perform reliably beyond the pilot stage, three governance capabilities are essential:<\/p><ol><li><strong>Data lineage and cataloging:<\/strong> Every data point must be traceable to its source, including every transformation along the way. This makes it possible to understand why a model produces a particular result, even during live operations.<\/li><li><strong>Role-based access control:<\/strong> Not everyone in an organization needs access to every dataset. Clearly defined roles and permissions protect sensitive information while building trust in the platform and its security.<\/li><li><strong>Monitoring model drift and data quality:<\/strong> AI models and the sensor data they rely on change over time. Without continuous monitoring, a decline in model accuracy or faulty sensor readings can easily go unnoticed.<\/li><\/ol><p>These aren&#8217;t measures you can implement once and forget. They require ongoing attention and improvement, much like the industrial equipment they ultimately support.<\/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-8ec4fb9 elementor-widget elementor-widget-heading\" data-id=\"8ec4fb9\" 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 Theory to Practice: AI Use Cases Delivering Value<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f6a8f35 elementor-widget elementor-widget-text-editor\" data-id=\"6f6a8f35\" 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>What does successful AI deployment look like when it&#8217;s built on a solid data platform? Two examples illustrate the possibilities.<\/p><p><strong>KUKA<\/strong> uses its iiQoT Industrial IoT platform, built on Microsoft Azure, to detect anomalies across robot fleets. Today, around 100,000 machine learning models run in production on the platform. Managing that scale would be virtually impossible without a well-organized, scalable data foundation.<\/p><p><strong>A leading German machine manufacturer<\/strong> needed a new platform for its 2,500 connected pumps in the field after Weidm\u00fcller discontinued its existing solution. Device Insight developed a platform designed from the outset to support future applications in agentic AI, machine learning, and service operations.<\/p><p>Both examples point to a useful pattern. Anomaly detection is often an excellent starting point for companies taking their first steps with AI. It makes use of sensor data that&#8217;s already available, can deliver measurable results quickly, and builds confidence for more advanced applications. For a closer look at how to measure the business value of these applications, read <a href=\"https:\/\/device-insight.com\/return-on-data-analytics\/\">our article on Return on Data<\/a>.<\/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-a00f346 elementor-widget elementor-widget-heading\" data-id=\"a00f346\" 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\">Why Companies Need an AI Operating System<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6762293 elementor-widget elementor-widget-text-editor\" data-id=\"6762293\" 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>Looking ahead, there&#8217;s a compelling reason to make the right architectural decisions today. According to <a href=\"https:\/\/www.cio.de\/article\/4121419\/agentic-ai-steht-2026-vor-dem-durchbruch-wenn-cios-es-richtig-angehen.html\" target=\"_blank\" rel=\"noopener\">Gartner forecasts<\/a>, around 40% of agentic AI projects could be canceled by the end of 2027 due to rising costs, unclear business value, and inadequate risk controls.<\/p><p>That isn&#8217;t an argument against AI agents. It&#8217;s a warning about what happens when companies introduce them without a common foundation. Without shared governance, organizations risk creating a growing collection of incompatible AI agents. Each department develops its own solution, repeating the same mistakes that have held back so many early AI pilots.<\/p><p>What companies need instead is a unified AI Operating System, built on a shared data platform that serves every business function. Rather than starting from scratch with each new application, teams can build on existing data connections, capabilities, and governance structures.<\/p><p>For companies planning their next AI initiative, three principles are worth keeping in mind:<\/p><ul><li><strong>Put governance before technology.<\/strong> Start by defining the problem you want to solve and identifying who will use the data. Choose the platform only after those questions have been answered.<\/li><li><strong>Start with a practical use case.<\/strong> A well-chosen application, such as anomaly detection, can deliver measurable results quickly and build confidence for the next stage.<\/li><li><strong>Plan for what comes next.<\/strong> Design your data platform to accommodate future agentic AI applications from the outset. This avoids expensive architectural changes later.<\/li><\/ul><p>How ready is your data platform for AI? Talk to our experts to find out how AI-ready your data platform really is.<\/p>\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-54b030fb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"54b030fb\" 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-6874916a\" data-id=\"6874916a\" 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-6a726381 elementor-widget elementor-widget-image\" data-id=\"6a726381\" 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=\"906\" height=\"816\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/09\/Bild-Self-Assessment-Scorecard_EN.png\" class=\"attachment-full size-full wp-image-49443\" alt=\"AI Readiness Self Assessment\" srcset=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/09\/Bild-Self-Assessment-Scorecard_EN.png 906w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/09\/Bild-Self-Assessment-Scorecard_EN-300x270.png 300w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/09\/Bild-Self-Assessment-Scorecard_EN-768x692.png 768w\" sizes=\"(max-width: 906px) 100vw, 906px\" \/>\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-661a3762\" data-id=\"661a3762\" 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-2a193ac1 elementor-widget elementor-widget-heading\" data-id=\"2a193ac1\" 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\">How AI-ready is your data platform?<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-299bb84c elementor-widget elementor-widget-text-editor\" data-id=\"299bb84c\" 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 structured readiness assessment gives you a clear picture of where you stand and helps identify the most valuable next steps. Find out in just 5 minutes with our self-assessment.<\/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-58b9a5ab elementor-align-left ha-has-bg-overlay elementor-widget elementor-widget-button\" data-id=\"58b9a5ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/device-insight.com\/en\/modernization-self-assessment\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Take the AI Readiness Check<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\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-inner-section elementor-element elementor-element-566800dd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"566800dd\" 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-50 elementor-inner-column elementor-element elementor-element-784d4199\" data-id=\"784d4199\" 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-200c0101 elementor-widget elementor-widget-text-editor\" data-id=\"200c0101\" 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><strong>About the author<\/strong><strong>:<\/strong><\/p><p><strong>Ingo Forstner<\/strong>\u00a0combines a background in mechanical engineering with extensive experience in portfolio and operations management, specializing in industrial AI projects. He is currently Senior Portfolio Manager at Device Insight, a Munich-based company within the KUKA Group. Previously, he held positions at Linde Group and MAN Diesel &amp; Turbo.<\/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<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-16c3ffc8\" data-id=\"16c3ffc8\" 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-76acc8a6 elementor-widget elementor-widget-image\" data-id=\"76acc8a6\" 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=\"314\" height=\"314\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/Ingo-Forstner_rund-1.png\" class=\"attachment-full size-full wp-image-49260\" alt=\"Ingo Forstner\" srcset=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/Ingo-Forstner_rund-1.png 314w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/Ingo-Forstner_rund-1-300x300.png 300w, https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/Ingo-Forstner_rund-1-150x150.png 150w\" sizes=\"(max-width: 314px) 100vw, 314px\" \/>\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\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-48d546e4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"48d546e4\" 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-100 elementor-top-column elementor-element elementor-element-78a22c85\" data-id=\"78a22c85\" 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-baa6d54 elementor-widget elementor-widget-heading\" data-id=\"baa6d54\" 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<div class=\"elementor-heading-title elementor-size-default\">FAQ on AI-Ready Data Platforms<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3908a02f ha-toggle--icon-right FAQ-module elementor-widget elementor-widget-ha-toggle happy-addon ha-toggle happy-addon-pro\" data-id=\"3908a02f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"ha-toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"ha-toggle__wrapper\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9561\" class=\"ha-toggle__item-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9561\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">Why isn't a good machine learning model enough to make an AI project successful?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9561\" class=\"ha-toggle__item-content\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9561\">\n\t\t\t\t\t\t<p>A model may perform well on clean, controlled data during development, only to encounter infrastructure that cannot reliably handle continuous, changing data streams in production. The real bottleneck is often the data platform rather than the model itself.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9562\" class=\"ha-toggle__item-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9562\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">What are the warning signs that a data platform isn't AI-ready?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9562\" class=\"ha-toggle__item-content\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9562\">\n\t\t\t\t\t\t<p>Every new use case starts from scratch, the platform struggles with growing data volumes, data lineage is unclear, or missing values are interpreted differently across teams. Even one of these issues is a good reason to review your existing platform.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9563\" class=\"ha-toggle__item-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9563\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">Microsoft Fabric vs. Databricks: Which platform is right for us?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9563\" class=\"ha-toggle__item-content\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9563\">\n\t\t\t\t\t\t<p>Neither is inherently better. The right choice depends on the problem you&#8217;re solving and who will use the platform. Are you primarily supporting data engineers who work with complex technical architectures, or business users who need straightforward access to information? Those requirements should guide your decision.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9564\" class=\"ha-toggle__item-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9564\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">What does data sovereignty mean in practice?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9564\" class=\"ha-toggle__item-content\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9564\">\n\t\t\t\t\t\t<p>In day-to-day operations, data sovereignty is less about choosing a particular cloud provider and more about data portability, granular access controls, and comprehensive audit trails. These capabilities give companies greater independence and control over their data.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9565\" class=\"ha-toggle__item-title\" data-tab=\"5\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9565\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">Which AI use case is a good place to start?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9565\" class=\"ha-toggle__item-content\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9565\">\n\t\t\t\t\t\t<p>Anomaly detection is often a strong first choice. It builds on existing sensor data and can deliver measurable results relatively quickly, creating confidence for more complex applications.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"ha-toggle__item\">\n\t\t\t\t\t<div id=\"ha-toggle__item-title-9566\" class=\"ha-toggle__item-title\" data-tab=\"6\" role=\"tab\" aria-controls=\"ha-toggle__item-content-9566\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-icon ha-toggle__icon\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__icon--opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"ha-toggle__item-title-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"ha-toggle__item-title-text\">Why is a shared data foundation valuable for multiple AI use cases?<\/span>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"ha-toggle__item-content-9566\" class=\"ha-toggle__item-content\" data-tab=\"6\" role=\"tabpanel\" aria-labelledby=\"ha-toggle__item-title-9566\">\n\t\t\t\t\t\t<p>Because the second and third applications can reuse the infrastructure established for the first, rather than starting from scratch. This reduces costs, shortens development time, and lowers the risks associated with scaling AI across an organization.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\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\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-67b08f19 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"67b08f19\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\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-76edd520\" data-id=\"76edd520\" 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-27cd2d77 elementor-widget elementor-widget-heading\" data-id=\"27cd2d77\" 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\/it-modernization-ai-readiness\/\"><img decoding=\"async\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2026\/07\/Blog-Header-1024x427.jpg\" alt=\"Image\"><\/a><div class=\"teasers__content\"><div class=\"date__box\"><div class=\"date__box-date\">2026\/07\/31<\/div><a href=\"https:\/\/device-insight.com\/category\/news\/\" class=\"date__box-button\">News<\/a><\/div><h2 class=\"headline\"><a href=\"https:\/\/device-insight.com\/en\/it-modernization-ai-readiness\/\">IT Modernization: The Missing Link to Scalable AI<\/a><\/h2><div class=\"description\">Part 1 of our blog series, \"Build AI Readiness, Modernize IT.\"<\/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>Part 2 of our blog series, &#8220;Build AI Readiness, Modernize IT.&#8221;<\/p>\n","protected":false},"author":3,"featured_media":43989,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[27,60],"tags":[241,167,239],"class_list":["post-49424","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-news-en","tag-ai-readiness","tag-data-plattform","tag-it-modernization"],"acf":[],"_links":{"self":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/49424","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=49424"}],"version-history":[{"count":7,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/49424\/revisions"}],"predecessor-version":[{"id":49450,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/49424\/revisions\/49450"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media\/43989"}],"wp:attachment":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media?parent=49424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/categories?post=49424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/tags?post=49424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}