{"id":38812,"date":"2025-03-04T08:00:00","date_gmt":"2025-03-04T16:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/en-us\/blog\/?p=38812"},"modified":"2025-11-18T13:23:02","modified_gmt":"2025-11-18T21:23:02","slug":"new-global-report-how-to-stand-out-in-an-ai-savvy-world","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/new-global-report-how-to-stand-out-in-an-ai-savvy-world\/","title":{"rendered":"New global report: How to stand out in an AI-savvy world"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">What was the last thing you did with a generative AI app? Create a cat-unicorn coloring book for your niece? Summarize that 42-page  brief a colleague sent you? For me, it was using Microsoft Copilot to help my 9<sup>th<\/sup> grader with a history study session\u2014I know more than you can believe about Mesopotamia.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Whatever it was for you, I bet it was something you wouldn\u2019t have even considered a year ago. As fast as we\u2019ve become comfortable with AI at our fingertips, our expectations for what it can do for us are growing just as fast. Companies are responding to those rising expectations by increasingly customizing AI to create apps and unique experiences that differentiate their brand in the marketplace.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When I say customers are customizing AI to create apps, I mean they are reshaping entire experiences with it. The <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/19758-national-basketball-association-azure-open-ai-service?msockid=3b8626837d9d6e763c69323e7c286f90\">NBA is redefining fandom<\/a> with AI-powered personalization, delivering game highlights and stats tailored to each viewer. Meanwhile, the city of Buenos Aires has <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/21596-government-of-the-city-of-buenos-aires-azure-open-ai-service\" target=\"_blank\" rel=\"noreferrer noopener\">transformed urban living<\/a> with &#8216;Boti,&#8217; an AI chatbot managing over two million monthly queries, providing residents with instant assistance for things like driver\u2019s license renewals, subway schedules, parking regulations, and even personalized tourism plans. These organizations are bending AI to their vision, pushing the limits of what\u2019s possible. That is why I am happy to share a new MIT Technology Review Insights report that delves into how businesses are leveraging AI customization to stay ahead in the competitive market\u2014<a href=\"https:\/\/info.microsoft.com\/ww-landing-customizing-generative-ai-top-techniques-for-unique-value.html?LCID=EN-US\" target=\"_blank\" rel=\"noreferrer noopener\">DIY GenAI: Customizing generative AI for unique value<\/a>. The report highlights the motivations, methods, and challenges faced by technology leaders as they tailor AI models to create net new value for their businesses.&nbsp;<\/p>\n\n\n\n<aside class=\"cta-block cta-block--align-left cta-block--has-image wp-block-msx-cta\" data-bi-an=\"CTA Block\">\n\t<div class=\"cta-block__content\">\n\t\t\t\t\t<div class=\"cta-block__image-container\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it-1024x1024.webp\" class=\"cta-block__image\" alt=\"A pie chart on a table\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it-1024x1024.webp 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it-300x300.webp 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it-150x150.webp 150w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it-768x768.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/CTA-card-1-without-text-on-it.webp 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t<\/div>\n\t\t\n\t\t<div class=\"cta-block__body\">\n\t\t\t<h2 class=\"cta-block__headline\">Get the report<\/h2>\n\t\t\t<p class=\"cta-block__text\">Learn top techniques from 300 technical leaders who are differentiating their businesses through customized generative AI solutions.<\/p>\n\t\t\t\t\t\t\t<div class=\"cta-block__actions\">\n\t\t\t\t\t<a\n\t\t\t\t\t\thref=\"https:\/\/info.microsoft.com\/ww-landing-customizing-generative-ai-top-techniques-for-unique-value.html?LCID=EN-US\"\n\t\t\t\t\t\tclass=\"btn cta-block__link btn-link\"\n\t\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\tRead here &gt;\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/aside>\n\n\n\n<p class=\"wp-block-paragraph\">While AI customization isn\u2019t new, rapidly advancing AI platforms like <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\">Azure AI Foundry<\/a> can make it easier and offer businesses greater opportunities to create unique value with AI. According to the MIT report, while boosting efficiency is a top motivation for customizing generative AI models, creating unique solutions, better user satisfaction, and greater innovation and creativity are equal motivations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Improved efficiency is a top motivator here because it is the first clear-cut benefit businesses can realize quickly by customizing AI. As organizations gain experience, the learning curve flattens, and I think we\u2019ll see the other motivators soar as companies focus more on customizing AI for top-line revenue impact than COGS (Cost of Goods Sold) savings.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency-1024x563.webp\" alt=\"A screenshot of a graph\" class=\"wp-image-39024 webp-format\" style=\"box-shadow:var(--wp--preset--shadow--natural)\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency-1024x563.webp 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency-300x165.webp 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency-768x422.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency.webp 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/JHawk-Blog_Unique-value-beyond-efficiency-1024x563.webp\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"specializing-with-agents\">Specializing with agents&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">When it comes to selecting models, half of the executives surveyed in the MIT report said they are prioritizing agentic and multi-agent capabilities in addition to multimodality (56%), flexible payment options (53%), and performance improvements (63%). AI agents that perform tasks and make decisions without the need for direct human intervention have broad utility. They lend themselves to autonomous problem solving in areas like data entry and retrieval for clinical operations in Healthcare, supplier coordination and maintenance tracking in manufacturing, and enhancing inventory and store operations in Retail.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Agents have the potential to disrupt the market with something unique beyond automating processes that humans find dull. Take <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/21861-atomicwork-azure-ai-foundry\">Atomicwork<\/a>, a newcomer to the service management space dominated by established industry players with decades of experience. Atomicwork stands out with an ITSM (IT Service Management) and ESM (Enterprise Service Management) platform centered around specialized AI agents that integrate into the flow of work, providing seamless, instant support without the need for multiple tools or complex integrations. According to Atomicwork, one of their customers achieved a 65% deflection rate (the percentage of issues resolved without human intervention) within six months.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Like other areas of AI development, agent-building tools are rapidly evolving to accommodate a wide variety of use cases. From creating simple low-code agents in Microsoft Copilot Studio to developing more complex, autonomous pro-code agents using GitHub and Visual Studio, the process is streamlined. For example, using the intuitive agent orchestration experience built directly into Azure AI Foundry, <a href=\"https:\/\/techcommunity.microsoft.com\/blog\/azure-ai-services-blog\/unlocking-ai-powered-automation-with-azure-ai-agent-service\/4372041\" target=\"_blank\" rel=\"noreferrer noopener\">Azure AI Agent Service<\/a> allows you to accomplish in just a few lines of code what originally took hundreds of lines. This makes it remarkably easy to customize and safely put agents to work in your operations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"good-data-equals-good-ai\">Good data equals good AI&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The potential of AI customization is immense but not without its challenges. Ironically, the greatest asset for AI customization often presents the biggest barrier customers run into: data. Specifically, data integrity\u2014the safety, security, and quality of the data they use with AI. Half the participants in the MIT report cited data privacy and security (52%) and data quality and preparation (49%) as AI customization obstacles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Generative AI is one of the best things to happen to data in a long time. It presents innovative ways for companies to interact with and use their data in solutions unique to them. Data is where the magic happens. AI models know a lot, but a model doesn\u2019t know your company from your competitor until you ground it in your data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Critical to empowering data-driven AI is an intelligent data platform that unifies sprawling, fragmented data stores, provides controls to govern and secure data, and seamlessly integrates with AI building tools. It\u2019s why <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Fabric<\/a> is now the fastest-growing analytics product in our history and why we\u2019re seeing AI-driven data growth of raw storage, database services, and app platform services as customers fuel their AI workloads with data. Fabric removes the data integrity obstacle. Together with Azure AI Foundry, data and dev teams are integrated and working in the same environment, removing any time-to-market drag due to data issues.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1024x563.webp\" alt=\"A graph with purple and white text\" class=\"wp-image-38876 webp-format\" style=\"box-shadow:var(--wp--preset--shadow--natural)\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1024x563.webp 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-300x165.webp 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-768x422.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image.webp 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1024x563.webp\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"rag-is-the-customization-starting-point\">RAG is the customization starting point<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the simplest and most effective methods for customization is retrieval-augmented generation (RAG). Two-thirds of those surveyed in the MIT report are implementing RAG or exploring its use. Grounding an AI model in data specific to an organization or practice makes the model unique and capable of providing a specialized experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, RAG isn\u2019t used alone to customize models. The report found it\u2019s often used in combination with fine-tuning (54%) and prompt engineering (46%) to create highly specialized models. Dentsu, a global advertising and PR firm based in Tokyo, initially analyzed media channel contributions to client sales using general-purpose LLMs but found their accuracy lacking at 40-50%. To improve this, they developed custom data controls and structures and tailored models leveraging their expertise in retail and marketing data analysis. By integrating a customized RAG framework and an agentic decision layer, Dentsu reports about 95% accuracy in retrieving relevant data and insights. This AI-powered approach now plays a central role in shaping campaign strategies and optimizing marketing budget allocation for their clients.&nbsp;<\/p>\n\n\n\n<aside class=\"cta-block cta-block--align-left cta-block--has-image wp-block-msx-cta\" data-bi-an=\"CTA Block\">\n\t<div class=\"cta-block__content\">\n\t\t\t\t\t<div class=\"cta-block__image-container\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"943\" height=\"1024\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/crop-for-CTA-2-943x1024.jpg\" class=\"cta-block__image\" alt=\"A blue and pink glass\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/crop-for-CTA-2-943x1024.jpg 943w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/crop-for-CTA-2-276x300.jpg 276w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/crop-for-CTA-2-768x834.jpg 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/crop-for-CTA-2.jpg 1153w\" sizes=\"auto, (max-width: 943px) 100vw, 943px\" \/>\t\t\t<\/div>\n\t\t\n\t\t<div class=\"cta-block__body\">\n\t\t\t<h2 class=\"cta-block__headline\">Start building<\/h2>\n\t\t\t<p class=\"cta-block__text\">Design, customize, and manage exceptional AI apps with Azure AI Foundry, using tools you love across GitHub, Visual Studio, and Copilot Studio.<\/p>\n\t\t\t\t\t\t\t<div class=\"cta-block__actions\">\n\t\t\t\t\t<a\n\t\t\t\t\t\thref=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\"\n\t\t\t\t\t\tclass=\"btn cta-block__link btn-link\"\n\t\t\t\t\t\ttarget=\"_blank\"\t\t\t\t\t>\n\t\t\t\t\t\tTry today &gt;\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/aside>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"empowering-development-teams\">Empowering development teams&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Developing AI brings new dynamics, not the least of which is keeping pace with AI advancements. Model features and capabilities, along with developer tools and methods, are evolving rapidly, which makes empowering teams with the right tools crucial for successful AI customization.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, the pace of new model capabilities begs for model evaluation tooling automation. According to the MIT report, 54% of companies use manual evaluation methods, and 26% are either beginning to apply automated methods or are doing so consistently. I expect we\u2019ll see these numbers flip soon. The report notes that playgrounds and prompt development features are also widely used to facilitate collaboration between AI engineers and app developers while customizing models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Evaluation is a critical component not just for customizing an AI but also in managing and monitoring the app once it hits production. We built full lifecycle evaluation into Azure AI Foundry so you can continuously evaluate model capabilities, optimize performance, test safety, and keep pace with advancements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We also see customization and growing AI portfolios&nbsp;ushering in next-generation AI development. The report reveals that more than half of the surveyed organizations have adopted telemetry tracing and debugging tools. AI tracing enhances the transparency needed to understand the outcomes of AI applications, and debugging helps optimize performance by showing how reasoning flows from the initial prompt to the final output.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1-1024x563.webp\" alt=\"A screenshot of a computer\" class=\"wp-image-38877 webp-format\" style=\"box-shadow:var(--wp--preset--shadow--natural)\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1-1024x563.webp 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1-300x165.webp 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1-768x422.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1.webp 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/image-1-1024x563.webp\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"looking-ahead-with-azure-ai\">Looking ahead&nbsp;with Azure AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI has high utility when it comes to creating services and experiences that can differentiate you in the marketplace. The speed of adoption, exploration, and customization is evidence of the value companies see in that utility. Models are continually advancing and specializing by task and industry. In fact, there are more than 1,800 models in the Azure AI Foundry catalog today &#8211; and they are evolving just as quickly as the tools and methods to build with them. We already see agents delivering new customer service experiences\u2014something that might be a differentiator today, but I expect fast-follows will reshape customer service for most companies as consumers learn to expect an AI-powered experience. As that happens, what we see as AI customization today will lose the novelty of being custom and become standard practice for building with AI. What we won\u2019t lose is the novelty of building something unique. It will become an organization\u2019s IP.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What\u2019s that unique experience for your business? What\u2019s the next special thing you want to do for your customers? How do you want to empower your employees? You\u2019ll find everything you need to bend the curve of innovation with Azure AI Foundry.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One final note: No matter where you are in retooling your organization to operationalize AI, I encourage you to read the MIT report. In addition to survey findings, the team spent quality time talking with technology leaders about creating value by customizing generative AI. Sprinkled throughout the report are some helpful, real-world examples and insights. Big thanks to the researchers and editors at MIT Technology Review Insights for helping put a focus on this exciting area of opportunity.<\/p>\n\n\n\n<div class=\"wp-block-buttons alignwide is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/info.microsoft.com\/ww-landing-customizing-generative-ai-top-techniques-for-unique-value.html?LCID=EN-US\" target=\"_blank\" rel=\"noreferrer noopener\">Download the MIT report&nbsp;<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"about-jessica-hawk\">About Jessica&nbsp;Hawk<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Jessica leads Azure Data, AI, and Digital Applications product marketing at Microsoft. Find <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/author\/jessica-hawk\/\">Jessica\u2019s blog posts here<\/a>, and be sure to <a href=\"https:\/\/www.linkedin.com\/in\/jessica-hawk-0686561\/\" target=\"_blank\" rel=\"noreferrer noopener\">follow Jessica on LinkedIn<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I am happy to share a new MIT Technology Review Insights report that delves into how businesses are leveraging AI customization to stay ahead in the competitive market.<\/p>\n","protected":false},"author":39,"featured_media":38932,"comment_status":"open","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":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1454],"tags":[],"audience":[3053],"content-type":[1465,1481],"product":[1803,3164],"tech-community":[3041],"topic":[],"coauthors":[1705],"class_list":["post-38812","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-machine-learning","audience-it-decision-makers","content-type-announcements","content-type-thought-leadership","product-azure-ai","product-microsoft-foundry","review-flag-1-1680286581-825","review-flag-9-1680286581-259","review-flag-ai-driven-ai-driven-2","review-flag-integ-1680286579-214","review-flag-new-1680286579-546"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New global report: How to stand out in an AI-savvy world | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"I am happy to share a new MIT Technology Review Insights report that delves into how businesses are leveraging AI customization to stay ahead in the competitive market.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/new-global-report-how-to-stand-out-in-an-ai-savvy-world\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New global report: How to stand out in an AI-savvy world | Microsoft Azure Blog\" \/>\n<meta property=\"og:description\" content=\"I am happy to share a new MIT Technology Review Insights report that delves into how businesses are leveraging AI customization to stay ahead in the competitive market.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/azure.microsoft.com\/en-us\/blog\/new-global-report-how-to-stand-out-in-an-ai-savvy-world\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft Azure Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/microsoftazure\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-04T16:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-18T21:23:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/MIIT-1024x574.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"574\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jessica Hawk\" \/>\n<meta name=\"twitter:card\" 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