{"id":120987,"date":"2025-04-03T08:00:00","date_gmt":"2025-04-03T15:00:00","guid":{"rendered":""},"modified":"2025-04-15T09:32:17","modified_gmt":"2025-04-15T16:32:17","slug":"shaping-the-future-of-product-engineering-and-research-and-development-with-generative-ai","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2025\/04\/03\/shaping-the-future-of-product-engineering-and-research-and-development-with-generative-ai\/","title":{"rendered":"Shaping the future of product engineering and research and development with generative AI"},"content":{"rendered":"\n<p>Manufacturers have experienced significant volatility across global markets for discrete products over the last five years, with shifting customer demands, supply chain disruptions (through both natural and geopolitical events) coupled with the rapid acceptance and <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/manufacturing\/microsoft-cloud-for-manufacturing\">adoption of new technologies<\/a>, including generative AI.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>Manufacturers face existential challenges around several key and often conflicting goals; the need to increase revenue whilst at the same time reducing costs across the value chain\u2014spanning engineering, manufacturing, and supply chains, starting with product design and engineering. These challenges have impacted everything from product requirements and capabilities to product development all the way to sourcing and production. A recent IDC report highlighted how for product managers, investing more in engineering and research and development (R&amp;D) correlates with lower cost of goods sold (COGS) and higher revenue growth for manufacturers, suggesting that investments in product engineering investments drive financial success.<sup>1<\/sup>&nbsp;&nbsp; &nbsp;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.microsoft.com\/en-us\/industry\/manufacturing\/microsoft-cloud-for-manufacturing\">Microsoft Cloud for Manufacturing: Design, build, and operate with AI<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"benefits-of-generative-ai-in-product-engineering\">Benefits of generative AI in product engineering\u202f&nbsp;<\/h2>\n\n\n<div class=\"wp-block-msxcm-kicker-container\">\n\t<div class=\" wp-block-msxcm-kicker-block wp-block-msxcm-kicker--align-right\" data-bi-an=\"Kicker Right\">\n\t\t<p class=\"wp-block-msxcm-kicker__title small text-neutral-400 text-uppercase\">\n\t\t\tindustrial transformation in the era of ai\t\t<\/p>\n\t\t<a\n\t\t\tclass=\"wp-block-msxcm-kicker__cta btn btn-link p-0 text-decoration-none\"\n\t\t\thref=\"https:\/\/info.microsoft.com\/ww-landing-industrial-transformation-in-the-Era-of-ai.html?lcid=en-us\"\n\t\t\ttarget=\"_blank\"\t\t>\n\t\t\t<span>Watch the video series<\/span> <span class=\"glyph-append glyph-append-xsmall wp-block-msxcm-kicker__glyph glyph-append-go\"><\/span>\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\n<p>As product complexity and connectivity has continued to increase, engineers\u2019 roles have become multi-disciplinary, requiring interaction with various data sources and tools, such as product lifecycle management (PLM), computer-aided design (CAD), computer-aided manufacturing (CAM), application lifecycle management (ALM) for software requirements, and computer-aided engineering (CAE). In addition to manufacturability, engineers need to incorporate aspects such as sustainability, regulatory compliance, quality, materials, and supplier and supply chain considerations much earlier in the product design process.&nbsp;The many lines of software code now prevalent in physical products and the growth in software requirements, also pressures traditional manufacturing information technology (IT) to support a proliferation of software tools, data, and infrastructure.&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<\/p>\n\n\n\n<p>Generative AI is transforming product engineering and R&amp;D to enable manufacturers to realize these benefits:&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cost reduction<\/strong>: Optimizing product designs for cost, sustainability, and manufacturability can reduce product development and production costs.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Better decision-making<\/strong>: Facilitated through data analysis and scenario simulation, generative AI provides valuable insights for informed decisions that can enhance product development, improve product quality, and better meet customer demands.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Productivity and skills gap<\/strong>:<strong> <\/strong>Helps experienced designers automate tasks they do often, and inexperienced designers to get up to speed quickly and avoid errors with best practice guidance.\u202f Assists with analysis and optimization of existing designs and can even generate new designs with user input.&nbsp;&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Efficiency<\/strong>:<strong> <\/strong>Reduce the time taken by engineers to both search across, and interact with, product data from various sources across the product lifecycle.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Faster time-to-market<\/strong>: Shorter product development cycles mean products can reach the market faster to capitalize on new opportunities more quickly.&nbsp;<\/li>\n\n\n\n<li><strong>Innovation<\/strong>: Continuously analyzing product-related data from various sources, customer feedback, and learning from it with generative AI can suggest innovative solutions that might not be more readily apparent.\u202f\u202f&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Microsoft partners play a pivotal role in transforming product engineering and R&amp;D by building industry-specific solutions that integrate data unification and contextualization capabilities with Microsoft technologies which, combined with <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-cloud\" target=\"_blank\" rel=\"noreferrer noopener\">the Microsoft Cloud<\/a>, are revolutionizing engineering functions.&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"establishing-a-secure-engineering-data-foundation\">Establishing a secure engineering data foundation&nbsp;&nbsp;<\/h2>\n\n\n\n<p>Product engineering and R&amp;D involve handling many types and modalities of data, including CAD files, technical specifications, product data and configurations, requirements, and process data. Manufacturers commonly use a range of systems, including PLM, ALM, and enterprise resource planning (ERP) systems, to manage this complex data. These form a secure data foundation on which transformation of product engineering is built upon, and sensitive IP can be protected.&nbsp;&nbsp;&nbsp; &nbsp;<\/p>\n\n\n\n<p>The following are examples where generative AI is helping to deliver value in a secure, engineering data foundation with AI on the Microsoft Cloud.&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/1703499442875711080-siemens-digital-industries-software-microsoft-azure-ai-germany\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Siemens<\/strong><\/a> has integrated <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-teams\/group-chat-software\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Teams<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-services\/openai-service\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure OpenAI Service<\/a>, and Siemens\u2019 Teamcenter PLM solution into an app to facilitate real-time communication and collaboration among frontline workers and engineers.<\/li>\n\n\n\n<li><a href=\"https:\/\/aras.com\/en\/news\/press-releases\/2025\/03\/aras-introduces-ai-assisted-search-and-ai-powered-intelligent-assistant-for-aras-innovator-saas\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Aras<\/strong><\/a> has introduced AI-assisted search and an intelligent copilot, using Azure OpenAI Service and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/copilot-studio\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Copilot Studio on Azure<\/a>, enhancing user interaction with PLM data, facilitating quicker access, analysis, and action on critical information through scalable search and conversational AI, user interaction with PLM data, facilitating quicker access, analysis, and action on critical information through scalable search and conversational AI.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.ptc.com\/en\/news\/2024\/ptc-partners-microsoft-volkswagengroup-codebeamer-generative-ai-copilot\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>PTC<\/strong> Codebeamer Copilot<\/a><strong> <\/strong>focuses on requirements authoring and analysis for the flagship <a href=\"https:\/\/azuremarketplace.microsoft.com\/marketplace\/apps\/ptc.codebeamer\" target=\"_blank\" rel=\"noreferrer noopener\">Codebeamer<\/a> Application Lifecycle Management (ALM) solution. This AI-powered agent, being used by<strong> <\/strong><a href=\"https:\/\/www.youtube.com\/watch?v=3JxBKao8_J8\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Volkswagen Group<\/strong><\/a>, improves the efficiency of the design phase, helping to ensure potential issues with system requirements are identified and addressed early in the process and a productivity boost as users manage complex hierarchies of requirements.<\/li>\n\n\n\n<li><a href=\"https:\/\/bluestarplm.com\/modules\/ai-copilot\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Bluestar PLM<\/strong><\/a> are leveraging <a href=\"https:\/\/learn.microsoft.com\/en-us\/microsoft-cloud\/dev\/copilot\/copilot-for-dynamics365\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Copilot for Dynamics 365<\/a> to automatically generate summaries for an engineering object based on data both from <a href=\"https:\/\/www.microsoft.com\/en-us\/dynamics-365\/what-is-dynamics-365\" target=\"_blank\" rel=\"noreferrer noopener\">Dynamics 365<\/a> and Bluestar PLM, and automatically generating item descriptions in multiple languages to make it easier to generate quotes, bills-of-materials (BOMs), invoices, and other documents in different languages.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"accelerating-product-engineering-and-r-d\">Accelerating product engineering and R&amp;D&nbsp;<\/h2>\n\n\n\n<p>Engineers use a range of complex solutions in product engineering when producing product designs from CAD, CAM, and CAE applications. This also involves creating and using many different data types, from 3D CAD and CAM files, to CAE simulation datasets, documents, specifications, and various knowledge repositories.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>The following are examples where customers and generative AI-powered partner solutions are helping to deliver value in accelerating product engineering and R&amp;D with AI on the Microsoft Cloud:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/22743-harting-cloud-for-manufacturing\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>HARTING<\/strong><\/a> reduced design time from weeks to minutes by introducing an AI-powered assistant fueled by Azure OpenAI Service and <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2024\/12\/11\/harnessing-the-power-of-ai-to-transform-digital-engineering\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Cloud for Manufacturing<\/a>, interoperating with <a href=\"https:\/\/azuremarketplace.microsoft.com\/en-us\/marketplace\/apps\/siemensplmsoftware.siemensnxsaas?tab=Overview\" target=\"_blank\" rel=\"noreferrer noopener\">Siemens NX<\/a> CAD for rapid design. This solution reduced configuration time by 95%, a significant improvement in efficiency and the rapid creation of custom electrical connector prototypes that are speeding up time-to-market.<\/li>\n\n\n\n<li><a href=\"https:\/\/hexagon.com\/company\/newsroom\/press-releases\/2024\/hexagons-new-ai-powered-automation-slashes-machine-tool-programming-time-by-75-per-cent\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Hexagon<\/strong><\/a> AI-powered automated CAM programming solution, ProPlanAI, reduces the time taken to program factory machine tools by 75%. This solution is part of Hexagon\u2019s cloud-based Nexus connectivity and collaboration platform for discrete manufacturers, and is powered by Azure OpenAI Service, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/cosmos-db\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure Cosmos DB<\/a>, and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/databricks\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure Databricks<\/a>.<\/li>\n\n\n\n<li><a href=\"https:\/\/newsroom.sw.siemens.com\/en-US\/nx-x-microsoft-azure\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Siemens<\/strong><\/a> copilot for NX X software uses an <a href=\"https:\/\/blogs.microsoft.com\/blog\/2024\/11\/13\/microsoft-introduces-new-adapted-ai-models-for-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\">adapted industry AI model<\/a> to help users ask natural language questions, access technical insights, and streamline design tasks for faster product development. It provides CAD designers with AI-powered recommendations and best practices to optimize the design process within the CAD experience, aiding engineers in implementing best practices quickly, ensuring high-quality results from design to production.<\/li>\n\n\n\n<li><a href=\"https:\/\/rescale.com\/blog\/rescale-unlocks-engineering-innovation-through-ai-powered-automations-with-microsoft\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Rescale<\/strong><\/a> is transforming engineering innovation by integrating AI-powered tools with Microsoft technologies to enhance simulation data workflows with Rescale Automations, automating data processing for real-time insights, improving decision-making and collaboration with AI models including <a href=\"https:\/\/techcommunity.microsoft.com\/blog\/aiplatformblog\/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple\/4357090\" target=\"_blank\" rel=\"noreferrer noopener\">Phi-4<\/a> to reduce cycle times and costs while maximizing simulation insights.<\/li>\n\n\n\n<li><strong>Siemens<\/strong> has announced an industrial foundational model (IFM) to enhance the productivity of engineering and automation tasks across the industrial sector.&nbsp;For example, it will help engineers automate CAM programming with context-aware recommendations, support Structured Control Code (SCL) generation and accelerate the creation of Process Flow Diagrams (PFDs) and Process and Instrumentation Diagrams (P&amp;ID). The IFM is built on Microsoft\u2019s Azure platform.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-next-step-unlock-innovation-in-product-engineering-with-ai-powered-digital-threads\">The next step: Unlock innovation in product engineering with AI-powered digital threads&nbsp;<\/h2>\n\n\n\n<p>The next stage in revolutionizing product engineering and R&amp;D sees the addition of multi-agent AI systems that can orchestrate, collaborate, and scale across complex enterprise workloads, including product engineering solutions, supply chain, manufacturing execution systems, customer relationship management, field service, and enterprise resource planning.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>Microsoft, along with partners like <a href=\"https:\/\/www.ptc.com\/en\/blogs\/corporate\/ai-agents-accelerate-digital-transformation\" target=\"_blank\" rel=\"noreferrer noopener\">PTC<\/a>, Autodesk, and <a href=\"https:\/\/aras.com\/en\/blog\/transforming-plm-with-ai-insights-from-top-industry-experts\" target=\"_blank\" rel=\"noreferrer noopener\">Aras<\/a>, believe that <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/2025\/03\/13\/unlocking-the-future-of-manufacturing-with-ai-powered-digital-thread\/\" target=\"_blank\" rel=\"noreferrer noopener\">digital threads are becoming a reality<\/a> for industrial customers due to unified data foundations and generative AI. Unified data foundations make data usable by securely sourcing it from various systems and automating contextualization. Generative AI agents use this data to provide insights and take actions, unlocking numerous use cases across the manufacturing value chain, including product engineering, all through unified data foundations and generative AI.&nbsp;&nbsp;<\/p>\n\n\n\n<p>The following are several such examples of innovations that are fueling the emergence and promise of AI-powered digital threads:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/aras.com\/en\/news\/press-releases\/2025\/03\/aras-introduces-innovatoredge-a-low-code-api-management-framework-for-extending-product-digital-thread-ecosystems\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Aras<\/strong> InnovatorEdge<\/a> is a new low-code API management framework for extending product digital thread ecosystems, which will also integrate with Microsoft Fabric, <a href=\"https:\/\/learn.microsoft.com\/en-us\/copilot\/microsoft-365\/microsoft-365-copilot-overview\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft 365 Copilot<\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2024\/12\/11\/harnessing-the-power-of-ai-to-transform-digital-engineering\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Cloud for Manufacturing<\/a>, enabling seamless connectivity for advanced analytics and AI-powered insights.<\/li>\n\n\n\n<li><strong>Autodesk<\/strong> Fusion connects people, data, and process through the product development lifecycle. Autodesk Data Solutions in Fusion Manage and <a href=\"https:\/\/aka.ms\/Fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Fabric<\/a> enable data management and process optimization. Additionally, Autodesk&#8217;s digital twin offerings through Tandem, factory simulation through FlexSIM, and factory operations management with Fusion Operation all benefit from this collaboration across the IT and operational technology (OT) ecosystem.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.ptc.com\/en\/blogs\/corporate\/ai-agents-accelerate-digital-transformation\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>PTC<\/strong><\/a><strong> <\/strong>is collaborating with Microsoft on an enterprise data framework and agentic model for PLM scenarios in PTC Windchill within Microsoft Fabric to accelerate manufacturers digital thread strategies and unlock insights and workflows across the value chain using AI-powered agents.<\/li>\n\n\n\n<li><a href=\"https:\/\/news.microsoft.com\/source\/asia\/features\/toyota-is-deploying-ai-agents-to-harness-the-collective-wisdom-of-engineers-and-innovate-faster\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Toyota<\/strong><\/a>\u202fis deploying AI agents to harness the collective wisdom of engineers and innovate faster and more efficiently in a system named \u201cO-Beya,\u201d or \u201cbig room\u201d in Japanese. The \u201cO-Beya\u201d system currently has nine AI agents\u2014from a Vibration Agent to a Fuel Consumption Agent, bringing together numerous functional experts.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>By using <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2024\/12\/11\/harnessing-the-power-of-ai-to-transform-digital-engineering\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Cloud for Manufacturing<\/a> and AI-powered solutions from our partner ecosystem, manufacturers can securely unlock new levels of impact. The integration of AI-powered solutions and AI agents unlocks innovation, reduces costs and improves operational efficiencies, meaning manufacturers are better equipped to navigate challenges and seize opportunities.&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"microsoft-in-manufacturing-and-mobility-industries\">Microsoft in manufacturing and mobility industries&nbsp;<\/h2>\n\n\n\n<p>Learn more about <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/manufacturing\/microsoft-cloud-for-manufacturing\">Microsoft Cloud for Manufacturing<\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/automotive\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft for automotive<\/a>, and how companies are using Microsoft AI capabilities in <a href=\"https:\/\/news.microsoft.com\/ai-in-action\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft AI in Action<\/a>.&nbsp;<\/p>\n\n\n\n<p>Learn more about the unique use cases and solutions driving innovation in product engineering and R&amp;D from our presence at <a href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/manufacturing-and-mobility\/manufacturing\/2025\/03\/25\/industrial-ai-in-action-how-ai-agents-and-digital-threads-will-transform-the-manufacturing-industries\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hannover Messe 2025<\/a>.<\/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\">\n\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>Microsoft Cloud for Manufacturing<\/h2>\n\n\t\t\t\t\t<div class=\"mb-3\">\n\t\t\t\t\t\t<p>Drive innovation with an AI-powered digital thread<\/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:\/\/www.microsoft.com\/en-us\/industry\/manufacturing\/microsoft-cloud-for-manufacturing\" class=\"btn btn-link text-decoration-none p-0\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<span>Explore solutions<\/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\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\/Manufacturing-feature-images-1024x683.webp\" class=\"card-img img-object-cover\" alt=\"A group of manufacturing professionals walking in a factory\" srcset=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/Manufacturing-feature-images-1024x683.webp 1024w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/Manufacturing-feature-images-300x200.webp 300w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/Manufacturing-feature-images-768x512.webp 768w, https:\/\/www.microsoft.com\/en-us\/industry\/blog\/wp-content\/uploads\/2025\/03\/Manufacturing-feature-images.webp 1260w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><\/p>\n\n\n\n<p><sup>1<\/sup>\u202f<a href=\"https:\/\/www.idc.com\/getdoc.jsp?containerId=US51892224\" target=\"_blank\" rel=\"noreferrer noopener\">IDC Research, Investing in Product Engineering \u2014 Increase Revenue and Decrease Cost, Doc # US51892224, February 2025<\/a>.&nbsp;<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft and our partners are playing a pivotal role in transforming the industry by building industry-specific solutions that integrate data unification and more.<\/p>\n","protected":false},"author":794,"featured_media":121004,"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":[4291,4531,4293,4332,4334,4530,4295,4413],"content-type":[1484],"coauthors":[4154],"class_list":["post-120987","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-manufacturing","category-manufacturing-and-mobility","tag-azure","tag-azure-openai-service","tag-copilot","tag-dynamics-365","tag-generative-ai","tag-microsoft-fabric","tag-microsoft-teams","tag-the-microsoft-cloud","content-type-partners","review-flag-1593580416-594","review-flag-1-1593580433-637","review-flag-4-1593580449-167","review-flag-idc","review-flag-information-technology","review-flag-integ-1593580289-590","review-flag-microsofts-microsofts","review-flag-new-1593580249-279","review-flag-partn-1593580285-60","review-flag-watch-1593580723-425"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Shaping the future of product engineering and research and development with generative AI - Microsoft Industry Blogs<\/title>\n<meta name=\"description\" content=\"Microsoft and our partners are playing a pivotal role in transforming the industry by building industry-specific solutions. 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