{"id":124596,"date":"2026-01-22T08:00:00","date_gmt":"2026-01-22T16:00:00","guid":{"rendered":""},"modified":"2026-03-13T15:18:42","modified_gmt":"2026-03-13T22:18:42","slug":"the-roi-of-ai-in-manufacturing-where-adoption-becomes-advantage","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2026\/01\/22\/the-roi-of-ai-in-manufacturing-where-adoption-becomes-advantage\/","title":{"rendered":"The ROI of AI in manufacturing: Where adoption becomes advantage"},"content":{"rendered":"<aside id=\"accordion-4d3ea591-8d9b-44a4-8193-6dca0402106d\" class=\"table-of-contents-block accordion pb-0\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse mb-0 display-flex justify-content-between w-100\" type=\"button\" data-mount=\"collapse\" data-target=\"#accordion-collapse-4d3ea591-8d9b-44a4-8193-6dca0402106d\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-4d3ea591-8d9b-44a4-8193-6dca0402106d\">\n\t\t<span class=\"table-of-contents-block__label subtitle\">In this article<\/span>\n\t\t<span class=\"table-of-contents-block__current mr-4 text-gray-600 font-weight-normal\" aria-hidden=\"true\"><\/span>\n\n\t\t<svg class=\"table-of-contents-block__arrow\" aria-label=\"Toggle arrow\" width=\"18\" height=\"11\" viewBox=\"0 0 18 11\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n\t\t\t<path d=\"M15.7761 11L18 8.82043L9 0L0 8.82043L2.22394 11L9 4.35913L15.7761 11Z\" fill=\"currentColor\" \/>\n\t\t<\/svg>\n\t<\/button>\n\t<div id=\"accordion-collapse-4d3ea591-8d9b-44a4-8193-6dca0402106d\" class=\"table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-4d3ea591-8d9b-44a4-8193-6dca0402106d\">\n\t\t<div class=\"accordion-body p-0\">\n\t\t\t<ol class=\"table-of-contents-block__list\"><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#manufacturing-s-moment-why-ai-why-now\">Manufacturing\u2019s moment: Why AI, why now?<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#from-siloed-data-to-intelligence-on-tap\">From siloed data to intelligence on tap<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#sustainability-a-greener-more-profitable-path\">Sustainability: A greener, more profitable path<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#empowering-people-ai-as-a-workforce-multiplier\">Empowering people: AI as a workforce multiplier<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#the-agentic-era-what-s-next\">The agentic era: What\u2019s next?<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#a-practical-path-forward-how-to-get-started\">A practical path forward: How to get started<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#learn-how-industrial-ai-can-transform-your-business\">Learn\u00a0how industrial AI can transform your business<\/a><\/li><\/ol>\t\t<\/div>\n\t<\/div>\n\t<span class=\"table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"manufacturing-s-moment-why-ai-why-now\">Manufacturing\u2019s moment: Why AI, why now?<\/h2>\n\n\n\n<p>\n  Today, AI isn\u2019t just a buzzword or a distant promise. It\u2019s a practical lever for manufacturers to unlock new value, drive efficiency, and build resilience for the future.\n<\/p>\n\n\n\n<p>At Microsoft Ignite 2025, <a href=\"https:\/\/ignite.microsoft.com\/en-US\/sessions?filter=industry%2FlogicalValue%3EManufacturing+and+Mobility\" target=\"_blank\" rel=\"noreferrer noopener\">our team explored how industrial AI is reshaping the economics of manufacturing<\/a>. Drawing from real-world customer stories and the latest research, we\u2019ll unpack where the ROI is real, what\u2019s driving it, and how you can take the next step on your own AI journey.<\/p>\n\n\n<div class=\"wp-block-msxcm-cta-block\" data-moray data-bi-an=\"CTA Block\">\n\t<div class=\"card d-block mx-ng mx-md-0\">\n\t\t<div class=\"row no-gutters material-color-brand-dark bg-fabric-green\">\n\n\t\t\t\t\t\t\t<div class=\"col-md-4\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/HMI-hero-image-1024x683.webp\" class=\"card-img img-object-cover\" alt=\"A man and woman looking at a screen in a manufacturing plant\" srcset=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/HMI-hero-image-1024x683.webp 1024w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/HMI-hero-image-300x200.webp 300w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/HMI-hero-image-768x512.webp 768w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/HMI-hero-image.webp 1260w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"d-flex col-md\">\n\t\t\t\t<div class=\"card-body align-self-center p-4 p-md-5\">\n\t\t\t\t\t\n\t\t\t\t\t<h2><p>Drive measurable outcomes with AI<\/p><\/h2>\n\n\t\t\t\t\t<div class=\"mb-3\">\n\t\t\t\t\t\t<p>Return on Intelligence: Scaling Business Value with Industrial AI<\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"link-group\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/info.microsoft.com\/ww-landing-return-on-intelligence-scaling-business-value-with-industrial-ai.html?lcid=en-us\" class=\"btn btn-link text-decoration-none p-0\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<span>Get the e-book<\/span>\n\t\t\t\t\t\t\t\t<span class=\"glyph-append glyph-append-chevron-right glyph-append-xsmall\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"from-siloed-data-to-intelligence-on-tap\">From siloed data to intelligence on tap<\/h2>\n\n\n\n<p>Every manufacturer knows the pain points: unplanned downtime, inefficiencies that eat into margins, and <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2025\/05\/05\/creating-a-resilient-supply-chain-using-connected-data-chains\/\" target=\"_blank\" rel=\"noreferrer noopener\">supply chain blind spots<\/a> that disrupt delivery. Too often, these issues are compounded by fragmented systems and a lack of real-time data visibility. The result? Slow decision-making and missed opportunities.<\/p>\n\n\n\n<p>But the landscape is changing. According to a 2025 commissioned&nbsp;\u202f<a href=\"https:\/\/tei.forrester.com\/go\/Microsoft\/IndustrialAiRoi\/?lang=en-us\" target=\"_blank\" rel=\"noreferrer noopener\">Forrester&nbsp;Consulting Total Economic Impact\u2122 study<\/a>\u202fon the economic impact of industrial transformation with <a href=\"https:\/\/www.microsoft.com\/en-us\/ai\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft AI<\/a>, manufacturers that invest in unified data platform and bring together data across IT and Operations Technology (OT) systems could see the following benefits<sup>1<\/sup>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Up to <strong>50%<\/strong> reduction in defects<\/li>\n\n\n\n<li>Up to <strong>50%<\/strong> fewer inventory shortages<\/li>\n\n\n\n<li>Up to <strong>40%<\/strong> decrease in frequency of equipment failures<\/li>\n\n\n\n<li>Up to <strong>457%<\/strong> projected ROI over three years<\/li>\n<\/ul>\n\n\n\n<p>Take <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/24526-kuka-azure-ai-foundry-models\" target=\"_blank\" rel=\"noreferrer noopener\">KUKA<\/a>, a global automation leader. Facing fragmented systems and a growing robotics skills gap, KUKA turned to <a href=\"https:\/\/azure.microsoft.com\/en-us\/solutions\/ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure AI<\/a> and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\">Microsoft Foundry Models<\/a>. The result? Programming time cut by up to 80%, democratizing robotics and accelerating workflow deployment. With predictive insights and real-time analytics, KUKA broke down data silos and empowered teams to innovate faster.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/info.microsoft.com\/ww-landing-return-on-intelligence-scaling-business-value-with-industrial-ai.html?lcid=en-us\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"916\" height=\"1008\" src=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2026\/01\/roi-ebook-infographic.jpg\" alt=\"Infographic titled &quot;How AI improves efficiency and resilience&quot; with insights from Forrester New Tech: The Projected Total Economic Impact\u2122 Of Microsoft Artificial Intelligence Solutions For Industrial Transformation\" class=\"wp-image-124622\" srcset=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2026\/01\/roi-ebook-infographic.jpg 916w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2026\/01\/roi-ebook-infographic-273x300.jpg 273w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2026\/01\/roi-ebook-infographic-768x845.jpg 768w\" sizes=\"auto, (max-width: 916px) 100vw, 916px\" \/><\/a><figcaption class=\"wp-element-caption\">New Tech: The Projected Total Economic Impact\u2122 Of Microsoft Artificial Intelligence Solutions For Industrial Transformation.&nbsp;Results are over three years for a composite organization based on interviewed and surveyed customers.<sup>1<\/sup><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"sustainability-a-greener-more-profitable-path\">Sustainability: A greener, more profitable path<\/h2>\n\n\n\n<p>Manufacturers today are under intensifying pressure from regulators, customers, and their own boards to <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/2025\/01\/13\/data-is-driving-a-more-sustainable-industrial-transformation\/\" target=\"_blank\" rel=\"noreferrer noopener\">reduce emissions, increase energy efficiency, and eliminate waste<\/a>. Yet many <a href=\"https:\/\/www.microsoft.com\/en-us\/sustainability\/\" target=\"_blank\" rel=\"noreferrer noopener\">sustainability challenges<\/a> stem from the same root problem: disconnected systems that make it difficult to measure, optimize, and scale improvements across facilities.<\/p>\n\n\n\n<p>But the momentum is shifting. According to the <a href=\"https:\/\/tei.forrester.com\/go\/Microsoft\/IndustrialAiRoi\/?lang=en-us\" target=\"_blank\" rel=\"noreferrer noopener\">Forrester study on the economic impact of Microsoft\u2019s industrial AI capabilities<\/a>, manufacturers see AI as a critical lever to drive measurable environmental and financial gains by optimizing energy usage, refining processes, and reducing carbon emissions. With Microsoft AI solutions, surveyed manufacturers who are Microsoft Azure customers expect to achieve:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>78%<\/strong> expect to reduce energy consumption<\/li>\n\n\n\n<li><strong>88%<\/strong> expect to improve energy efficiency<\/li>\n\n\n\n<li><strong>53%<\/strong> expect to reduce CO\u2082 emissions<\/li>\n<\/ul>\n\n\n\n<p>Take <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/1745242950134216820-schneider-electric-azure-machine-learning-discrete-manufacturing-en-france\" target=\"_blank\" rel=\"noreferrer noopener\">Schneider Electric<\/a>, a global leader in energy management with ambitious sustainability goals to reduce environmental impact and improve efficiency across its operations. By integrating <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\/models\/openai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure OpenAI<\/a> and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Learning<\/a> into its EcoStruxure platform, Schneider gained real\u2011time insight into energy usage, carbon\u2011related performance, and optimization opportunities. The impact? AI\u2011powered models that surface efficiency recommendations, accelerate sustainability decision\u2011making, and help facilities cut waste at scale. And because EcoStruxure underpins thousands of customer deployments, these AI\u2011powered insights also lets its customers pursue their own sustainability goals with greater speed, accuracy, and measurable operational improvements.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"empowering-people-ai-as-a-workforce-multiplier\">Empowering people: AI as a workforce multiplier<\/h2>\n\n\n\n<p>\n  Labor shortages, rising workload complexity, and persistent training bottlenecks continue to stretch manufacturing teams thin. Many frontline and knowledge workers spend too much time searching for information, navigating outdated systems, or performing repetitive tasks that slow productivity and sap morale.\n<\/p>\n\n\n\n<p>\n  But AI is shifting this dynamic. Manufacturers are adopting intelligent assistants, predictive tools, and automated workflows that free employees to focus on higher\u2011value work. According to recent industry data, organizations are already seeing material gains:\n<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>66%<\/strong> of repetitive tasks automated<\/li>\n\n\n\n<li><strong>70%<\/strong> of organizations report productivity gains<\/li>\n\n\n\n<li><strong>75%<\/strong> reduction in onboarding time<\/li>\n<\/ul>\n\n\n\n<p>Take <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/24786-audi-ag-azure-ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Audi AG<\/a>, a global automotive leader navigating rising internal demand for support and process guidance. To alleviate mounting human resources and IT strain, Audi launched its first AI-powered self-service assistant using Foundry that was deployed in just two weeks. The impact? Faster access to information, fewer routine queries, and more time for teams to focus on meaningful, high-value work. Audi\u2019s example shows how AI doesn\u2019t replace people but amplifies them.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-agentic-era-what-s-next\">The agentic era: What\u2019s next?<\/h2>\n\n\n\n<p>Manufacturers are moving beyond task\u2011level automation toward a new operating model where <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/2023\/08\/09\/the-future-of-work-how-next-generation-ai-is-empowering-the-frontline\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI works alongside teams<\/a> to coordinate decisions, optimize workflows, and adapt to changing conditions in real time. <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/2023\/03\/06\/manufacturers-digital-transformation-a-mid-life-crisis\/\" target=\"_blank\" rel=\"noreferrer noopener\">This next era<\/a> isn\u2019t about experimenting on the margins, but about treating AI as a core capability that strengthens every part of the enterprise.<\/p>\n\n\n\n<p>Platforms like Azure OpenAI, <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Fabric<\/a>, Foundry Models, and <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-365-copilot\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft 365 Copilot<\/a> are already helping organizations make that shift. And the economic signal is strong. Forrester\u2019s Total Economic Impact study attributes the financial upside of the broader Industrial AI value stack to improvements across operations, productivity, and supply chain performance:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Up to <strong>457%<\/strong> projected ROI over three years<\/li>\n<\/ul>\n\n\n\n<p>\n  These gains compound as AI becomes embedded across the business, accelerating impact as intelligent systems take on more routine work, surface insights faster, and support teams in making better decisions at every stage of production. Manufacturers who fail to operationalize AI risk falling behind peers who are building intelligence directly into their processes, products, and customer experiences.\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"a-practical-path-forward-how-to-get-started\">A practical path forward: How to get started<\/h2>\n\n\n\n<p>\n  To fully realize this next chapter, manufacturers need a clear, actionable roadmap grounded in governed data, scalable AI systems, and measurable business outcomes. \n<\/p>\n\n\n\n<p>\n  Here\u2019s a practical roadmap from aspiration to action:\n<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Identify high-impact use cases<\/strong>: Focus on areas like predictive maintenance, supply chain optimization, and quality control where AI can deliver quick, measurable wins.<\/li>\n\n\n\n<li><strong>Define success metrics<\/strong>: Set clear key performance indicators (KPIs) to track ROI and impact across teams and facilities. What gets measured gets managed. <\/li>\n\n\n\n<li><strong>Leverage proven platforms and partners<\/strong>: Don\u2019t reinvent the wheel. Use established AI platforms like Azure and work with partners who understand both technology and manufacturing. <\/li>\n\n\n\n<li><strong>Start small, scale fast<\/strong>: Begin with urgent, actionable business challenges. Build on proven frameworks and architect for scale. As Audi AG showed, operational AI can be deployed at enterprise scale in weeks, not years. <\/li>\n\n\n\n<li><strong>Invest in data foundations<\/strong>: Migrating legacy systems to the cloud and breaking down data silos are essential. Unified, AI-ready data is the backbone of successful industrial AI initiatives. <\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"learn-how-industrial-ai-can-transform-your-business\">Learn&nbsp;how industrial AI can transform your business<\/h2>\n\n\n\n<p>\n  Industrial AI is no longer a vision for the future, but a proven source of measurable value today. The manufacturers pulling ahead are the ones building AI into how they operate, scale, and compete. Whether you\u2019re laying the groundwork or accelerating existing initiatives, now is the moment to turn momentum into impact.\n<\/p>\n\n\n<div class=\"wp-block-msxcm-cta-block\" data-moray data-bi-an=\"CTA Block\">\n\t<div class=\"card d-block mx-ng mx-md-0\">\n\t\t<div class=\"row no-gutters material-color-brand-dark bg-fabric-green\">\n\n\t\t\t\t\t\t\t<div class=\"col-md-4\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"941\" height=\"628\" src=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2023\/08\/1.-MFG-blog-cover-photo-1.png\" class=\"card-img img-object-cover\" alt=\"A manufacturing worker standing in a factory holding a tablet\" srcset=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2023\/08\/1.-MFG-blog-cover-photo-1.webp 941w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2023\/08\/1.-MFG-blog-cover-photo-1-300x200.webp 300w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2023\/08\/1.-MFG-blog-cover-photo-1-768x513.webp 768w\" sizes=\"auto, (max-width: 941px) 100vw, 941px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"d-flex col-md\">\n\t\t\t\t<div class=\"card-body align-self-center p-4 p-md-5\">\n\t\t\t\t\t\n\t\t\t\t\t<h2>Return on Intelligence: Scaling Business Value with Industrial AI<\/h2>\n\n\t\t\t\t\t<div class=\"mb-3\">\n\t\t\t\t\t\t<p>Deeper insights, real-world case studies, and a practical roadmap<\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"link-group\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/info.microsoft.com\/ww-landing-return-on-intelligence-scaling-business-value-with-industrial-ai.html?lcid=en-us\" class=\"btn btn-link text-decoration-none p-0\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<span>Download the e-book<\/span>\n\t\t\t\t\t\t\t\t<span class=\"glyph-append glyph-append-chevron-right glyph-append-xsmall\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<p>\n  Start your journey toward smarter, more resilient, and more competitive manufacturing.\n<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><sup>1<\/sup> New Tech: The Projected Total Economic Impact\u2122 Of Microsoft Artificial Intelligence Solutions For Industrial Transformation.&nbsp;Results are over three years for a composite organization based on interviewed and surveyed customers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how industrial AI is reshaping the economics of manufacturing: where the ROI is real, what\u2019s driving it, and how you can take the next step on your own AI journey.<\/p>\n","protected":false},"author":881,"featured_media":125352,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":["aiblog-content-sync"],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"categories":[4264,1496],"post_tag":[4289,4290,5007,4766,4530],"content-type":[1483],"coauthors":[4155],"class_list":["post-124596","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-manufacturing","category-manufacturing-and-mobility","tag-ai","tag-automation","tag-azure-openai","tag-industrial-transformation","tag-microsoft-fabric","content-type-thought-leadership","review-flag-1-1593580433-637","review-flag-artificial-intelligence","review-flag-forrester","review-flag-free-1593619515-401","review-flag-lever-1593580266-799","review-flag-machine-learning-machine-learning","review-flag-microsofts-microsofts","review-flag-new-1593580249-279"],"yoast_head":"<!-- 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