{"id":9119,"date":"2025-06-14T10:16:42","date_gmt":"2025-06-14T01:16:42","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=9119"},"modified":"2025-06-14T10:16:43","modified_gmt":"2025-06-14T01:16:43","slug":"microsoft-acknowledged-for-second-consecutive-yr-as-a-chief-within-the-2025-gartner-magic-quadrant-for-knowledge-science-and-machine-studying-platforms","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=9119","title":{"rendered":"Microsoft acknowledged for second consecutive yr as a Chief within the 2025 Gartner\u00ae Magic Quadrant\u2122 for Knowledge Science and Machine Studying Platforms"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>\n\t\t\tWe\u2019re proud to share that Microsoft has as soon as once more been named a Chief within the 2025 Gartner\u00ae Magic Quadrant\u2122 for Knowledge Science and Machine Studying (DSML) Platforms.\t\t<\/p>\n<p class=\"wp-block-paragraph\">We\u2019re proud to share that Microsoft has as soon as once more been named a Chief within the<a href=\"https:\/\/www.gartner.com\/doc\/reprints?id=1-2L3SH1EP&amp;ct=250529&amp;st=sb\" target=\"_blank\" rel=\"noreferrer noopener\"> 2025 Gartner\u00ae Magic Quadrant\u2122 for Knowledge Science and Machine Studying (DSML) Platforms<\/a>. We consider this recognition displays our continued dedication to offering organizations with a complete toolchain for constructing and deploying machine studying fashions and AI functions, remodeling how companies function. <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Studying<\/a> is a part of a broad, interoperable ecosystem throughout Microsoft Cloth, Microsoft Purview, and inside <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Azure AI Foundry<\/a>.<\/p>\n<p class=\"wp-block-paragraph\">Gartner defines an information science and machine studying platform as an built-in set of code-based libraries and low-code tooling. These platforms assist the impartial use and collaboration amongst information scientists and their enterprise and IT counterparts, with automation and AI help by way of all phases of the information science life cycle, together with enterprise understanding, information entry and preparation, mannequin creation, and sharing of insights. Additionally they assist engineering workflows, together with the creation of information, characteristic, deployment, and testing pipelines. The platforms are offered through desktop consumer or browser with supporting compute cases or as a completely managed cloud providing.<\/p>\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" alt=\"A white grid with blue dots\" class=\"wp-image-41618 webp-format\" style=\"width:666px;height:auto\" srcset=\"\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Gartner_MQ_updated_2.webp\"\/><\/figure>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-69e7cb24684ec\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-69e7cb24684ec\"  type=\"checkbox\" id=\"item-69e7cb24684ec\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Main_the_way_in_which_in_2025\" title=\"Main the way in which in 2025\">Main the way in which in 2025<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Advancing_AI_with_Azure_Machine_Studying_and_clever_brokers\" title=\"Advancing AI with Azure Machine Studying and clever brokers\">Advancing AI with Azure Machine Studying and clever brokers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Leveraging_AI_fashions_with_Azure_AI_Foundry\" title=\"Leveraging AI fashions with Azure AI Foundry\">Leveraging AI fashions with Azure AI Foundry<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Optimizing_AI_efficiency_with_fine-tuning_in_Azure_AI_Foundry\" title=\"Optimizing AI efficiency with fine-tuning in Azure AI Foundry\">Optimizing AI efficiency with fine-tuning in Azure AI Foundry<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Enabling_organizations_to_deploy_AI_options\" title=\"Enabling organizations to deploy AI options\">Enabling organizations to deploy AI options<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=9119\/#Start_your_journey_with_Azure_Machine_Studying\" title=\"Start your journey with Azure Machine Studying\u00a0\">Start your journey with Azure Machine Studying\u00a0<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"leading-the-way-in-2025\"><span class=\"ez-toc-section\" id=\"Main_the_way_in_which_in_2025\"><\/span>Main the way in which in 2025<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">With Microsoft, we\u2019re turning our media experience right into a aggressive benefit\u2014and harnessing information to construct manufacturers and drive enterprise development.<\/p>\n<p><cite>\u2014Callum Anderson, World Director for DevOps and SRE at <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/19582-dentsu-azure-kubernetes-service\" target=\"_blank\" rel=\"noreferrer noopener\">Dentsu<\/a>.<\/cite><\/p><\/blockquote>\n<p class=\"wp-block-paragraph\">At Microsoft, we envision a unified expertise the place information scientists, AI engineers, builders, IT operations professionals, and enterprise customers come collectively to create functions and handle the complete AI lifecycle throughout personas and initiatives. To that finish, in November 2024, we introduced the provision of Azure AI Foundry\u2014a platform that enables builders to design, customise, and handle AI functions. Azure Machine Studying is a trusted workbench that exists on prime of Azure AI Foundry and powers the underlying instrument chain know-how, with capabilities for mannequin customization, together with fine-tuning and RAG.<\/p>\n<h2 class=\"wp-block-heading\" id=\"advancing-ai-with-azure-machine-learning-and-intelligent-agents\"><span class=\"ez-toc-section\" id=\"Advancing_AI_with_Azure_Machine_Studying_and_clever_brokers\"><\/span>Advancing AI with Azure Machine Studying and clever brokers<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">As a part of Azure AI Foundry, the <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-agent-service\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Foundry Agent Service<\/strong><\/a> empowers developer groups to orchestrate AI brokers that automate advanced, cross-functional workflows. Whether or not constructing options for software program engineering, enterprise course of automation, buyer assist, or information evaluation, Foundry Agent Service gives a sturdy, safe, and interoperable basis to operationalize AI brokers in manufacturing environments.<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">With assist for <strong>multi-agent orchestration<\/strong>, builders can design agent programs that coordinate throughout duties, share state, get well from failures, and evolve flexibly as necessities change. These brokers may be grounded in enterprise data utilizing <strong>Microsoft Cloth, Bing, and SharePoint<\/strong>, whereas interacting with each proprietary and third-party instruments because of open requirements like <strong>MCP (Mannequin Context Protocol) and A2A (Agent2Agent)<\/strong>.<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Builders can begin constructing regionally utilizing open-source frameworks like <strong>Semantic Kernel<\/strong> and <strong>AutoGen<\/strong>, and we\u2019re on a transparent path towards delivering a <strong>unified SDK<\/strong> throughout the 2 frameworks and Azure AI Foundry that permits you to transfer from native experimentation to manufacturing in cloud with out rewriting any code. This ensures constant developer expertise\u2014from preliminary prototyping to managed orchestration with observability and enterprise-grade management.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Collectively, <strong>Azure Machine Studying<\/strong> and <strong>Foundry Agent Service<\/strong> allow a future the place AI programs are designed for enterprise use with scalability and safety in thoughts.<\/p>\n<h2 class=\"wp-block-heading\" id=\"leveraging-ai-models-with-azure-ai-foundry\"><span class=\"ez-toc-section\" id=\"Leveraging_AI_fashions_with_Azure_AI_Foundry\"><\/span>Leveraging AI fashions with Azure AI Foundry<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Azure AI Foundry affords builders an modern technique of deploying and managing its over 11,000 AI fashions with instruments just like the Mannequin Router, Mannequin Leaderboard, and Mannequin Benchmarks.<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">The Mannequin Leaderboard simplifies the comparability of mannequin efficiency throughout real-world duties, offering clear benchmark scores, task-specific rankings, and stay updates, enabling customers to pick out the excessive accuracy, quick throughput, or aggressive price-performance ratio effectively.<\/li>\n<li class=\"wp-block-list-item\">Mannequin Benchmarks in Azure AI Foundry supply a streamlined method to examine mannequin efficiency utilizing standardized datasets, whereas additionally permitting prospects to guage fashions on their very own information to establish the perfect match for his or her particular eventualities.<\/li>\n<li class=\"wp-block-list-item\">Complementing this, the Mannequin Router\u2014accessible now for Azure OpenAI fashions\u2014dynamically routes queries to essentially the most appropriate giant language mannequin (LLM) by assessing components resembling question complexity, price, and efficiency, guaranteeing high-quality outcomes whereas minimizing compute bills.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">These capabilities empower companies to deploy versatile and adaptive AI programs with enterprise-grade efficiency, safety, and governance. With built-in innovation from Microsoft and its ecosystem, customers acquire entry to future-ready options that improve effectivity and scalability, guaranteeing they keep forward within the quickly evolving AI panorama.<\/p>\n<h2 class=\"wp-block-heading\" id=\"optimizing-ai-performance-with-fine-tuning-in-azure-ai-foundry\"><span class=\"ez-toc-section\" id=\"Optimizing_AI_efficiency_with_fine-tuning_in_Azure_AI_Foundry\"><\/span>Optimizing AI efficiency with fine-tuning in Azure AI Foundry<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Tremendous-tuning is a vital instrument for organizations aiming to customise pre-trained AI fashions for particular duties, enhancing their efficiency, accuracy, and flexibility, all whereas lowering operational prices. Tremendous-tuning in Azure AI Foundry is powered by the underlying Azure Machine Studying instrument chain.<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">With improvements resembling Reinforcement Tremendous-Tuning (RFT) utilizing the o4-mini mannequin, Azure AI Foundry permits builders to enhance reasoning, context-aware responses, and dynamic decision-making by way of reinforcement alerts. This adaptability is especially suited to functions requiring ongoing studying, making it a super technique for evolving enterprise logic and guaranteeing fashions keep related in dynamic environments.<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Azure AI Foundry additional simplifies fine-tuning with options resembling World Coaching and the Developer Tier. World Coaching lowers prices by permitting mannequin customization throughout a number of Azure areas, giving builders flexibility and scalability whereas adhering to strict privateness insurance policies. The Developer Tier affords an inexpensive method to consider fine-tuned fashions, enabling simultaneous testing throughout deployments and empowering customers to decide on the perfect candidate for manufacturing with precision and effectivity.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Collectively, these capabilities allow builders and enterprises to unlock the complete potential of their AI programs, driving innovation and effectivity within the quickly evolving digital panorama.<\/p>\n<h2 class=\"wp-block-heading\" id=\"enabling-organizations-to-deploy-ai-solutions\"><span class=\"ez-toc-section\" id=\"Enabling_organizations_to_deploy_AI_options\"><\/span>Enabling organizations to deploy AI options<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">From healthcare and finance to manufacturing and retail, prospects are utilizing Azure Machine Studying to unravel advanced issues, optimize operations, and unlock new enterprise fashions. Whether or not it\u2019s deploying basis fashions, orchestrating AI brokers, or scaling real-time inference, Microsoft helps organizations flip information into impression.<\/p>\n<h2 class=\"wp-block-heading\" id=\"begin-your-journey-with-azure-machine-learning\"><span class=\"ez-toc-section\" id=\"Start_your_journey_with_Azure_Machine_Studying\"><\/span>Start your journey with Azure Machine Studying\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">The migration to Azure is just the start. We\u2019ve laid the muse to discover alternatives we may solely think about earlier than.<\/p>\n<p><cite>\u2014Steve Fortune, Chief Digital and Expertise Officer at <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/23950-csx-azure-vmware-solution\" target=\"_blank\" rel=\"noreferrer noopener\">CSX<\/a>.<\/cite><\/p><\/blockquote>\n<p class=\"wp-block-paragraph\">Machine studying is revolutionizing the operational and aggressive panorama for companies within the digital age. It affords alternatives to optimize enterprise processes, enhance buyer experiences, and drive innovation. <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\/?msockid=1421922a378a69bd286587843630686a\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Studying<\/a> serves as a sturdy and versatile platform for machine studying and information science, enabling organizations to implement AI options responsibly and successfully.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<p class=\"wp-block-paragraph\"><em>Gartner, Magic Quadrant for Knowledge Science and Machine Studying Platforms, By Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 Might 2025.\u00a0<\/em><\/p>\n<p class=\"wp-block-paragraph\"><em>GARTNER is a registered trademark and repair mark of Gartner, Inc. and\/or its associates within the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and\/or its associates and is used herein with permission. All rights reserved.\u00a0<\/em><\/p>\n<p class=\"wp-block-paragraph\"><em>This graphic was revealed by Gartner, Inc. as half of a bigger analysis doc and must be evaluated within the context of the complete doc. The Gartner doc is offered upon request from [https:\/\/www.gartner.com\/en\/documents\/6533902].\u00a0<\/em><\/p>\n<p class=\"wp-block-paragraph\"><em>Gartner doesn&#8217;t endorse any vendor, services or products depicted in its analysis publications, and doesn&#8217;t advise know-how customers to pick out solely these distributors with the very best rankings or different designation. Gartner analysis publications encompass the opinions of Gartner\u2019s analysis group and shouldn&#8217;t be construed as statements of truth. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a specific goal.<\/em><\/p>\n<\/p><\/div>\n<p><script>\n\t\tfunction facebookTracking() {\n\t\t\t!function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n\t\t\t\tn.callMethod.apply(n,arguments):n.queue.push(arguments)};if(!f._fbq)f._fbq=n;\n\t\t\t\tn.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0;\n\t\t\t\tt.src=v;t.type=\"ms-delay-type\";t.setAttribute('data-ms-type','text\/javascript');\n\t\t\t\ts=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window,\n\t\t\t\tdocument,'script','https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n\t\t\tfbq('init', '1770559986549030');\n\t\t\t\t\t\tfbq('track', 'PageView');\n\t\t\t\t\t}\n\t<\/script><br \/>\n<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re proud to share that Microsoft has as soon as once more been named a Chief within the 2025 Gartner\u00ae Magic Quadrant\u2122 for Knowledge Science and Machine Studying (DSML) Platforms. We\u2019re proud to share that Microsoft has as soon as once more been named a Chief within the 2025 Gartner\u00ae Magic Quadrant\u2122 for Knowledge Science [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":9121,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-9119","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cloud-computing"},"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/9119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9119"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/9119\/revisions"}],"predecessor-version":[{"id":9120,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/9119\/revisions\/9120"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/9121"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}