{"id":10322,"date":"2025-07-06T22:16:17","date_gmt":"2025-07-06T13:16:17","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=10322"},"modified":"2025-07-06T22:16:17","modified_gmt":"2025-07-06T13:16:17","slug":"constructing-safe-scalable-ai-within-the-cloud-with-microsoft-azure","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=10322","title":{"rendered":"Constructing safe, scalable AI within the cloud with Microsoft Azure"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>\n\t\t\tForrester Analysis reveals how Azure helps enterprises scale generative AI securely, overcoming infrastructure and compliance challenges to unlock actual enterprise worth.\t\t<\/p>\n<p class=\"wp-block-paragraph\">Generative AI is a transformative drive, redefining how trendy enterprises function. It has shortly develop into central to how companies drive productiveness, innovate, and ship impression. The strain is on: organizations should transfer quick to not solely undertake AI, however to unlock actual worth at scale or danger falling behind.\u00a0\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Reaching enterprise-wide deployment of AI securely and effectively isn&#8217;t any simple feat. Generative AI is like rocket gasoline. It could propel companies to new heights, however solely with the best infrastructure and controls in place. To speed up safely and strategically, enterprises are turning to <a href=\"http:\/\/azure.microsoft.com\" target=\"_blank\" rel=\"noopener\">Microsoft Azure<\/a> as mission management. Tapping into Azure\u2019s highly effective cloud infrastructure and superior safety options permits groups to successfully construct, deploy, amplify, and see actual outcomes from generative AI.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">To grasp how companies are getting ready for AI, we commissioned Forrester Consulting to <a href=\"https:\/\/tei.forrester.com\/go\/Microsoft\/AzureAIReadiness\/?lang=en-us\" target=\"_blank\" rel=\"noreferrer noopener\">survey Azure clients<\/a>. The ensuing 2024 Forrester Complete Financial Impression<sup>TM<\/sup> research uncovers the steps companies take to develop into AI-ready, the challenges of adopting generative AI within the cloud, and the way Azure\u2019s scalable infrastructure and built-in safety helps companies deploy AI with confidence.\u00a0<\/p>\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-6a32beb8b9b46\" ><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-6a32beb8b9b46\"  type=\"checkbox\" id=\"item-6a32beb8b9b46\"><\/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=10322\/#Challenges_with_scaling_generative_AI_on-premises\" title=\"Challenges with scaling generative AI on-premises\u00a0\">Challenges with scaling generative AI on-premises\u00a0<\/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=10322\/#Why_enterprise_chooses_Azure_for_AI-readiness\" title=\"Why enterprise chooses Azure for AI-readiness\u00a0\">Why enterprise chooses Azure for AI-readiness\u00a0<\/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=10322\/#4_key_differentiators_for_deploying_generative_AI_with_Azure\" title=\"4 key differentiators for deploying generative AI with Azure\">4 key differentiators for deploying generative AI with Azure<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#1_Enterprise-grade_safety_and_compliant_options\" title=\"1. Enterprise-grade safety and compliant options\">1. Enterprise-grade safety and compliant options<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#2_Scalable_cloud_infrastructure\" title=\"2. Scalable cloud infrastructure\">2. Scalable cloud infrastructure<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#3_Unified_knowledge_and_AI_administration\" title=\"3. Unified knowledge and AI administration\">3. Unified knowledge and AI administration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#4_Quicker_innovation\" title=\"4. Quicker innovation\">4. Quicker innovation<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#The_enterprise_impression_of_safe_generative_AI_on_Azure\" title=\"The enterprise impression of safe generative AI on Azure\u00a0\">The enterprise impression of safe generative AI on Azure\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#Innovation_with_out_compromise\" title=\"Innovation with out compromise\u00a0\">Innovation with out compromise\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/aireviewirush.com\/?p=10322\/#Forrester_Analysis\" title=\"Forrester Analysis\">Forrester Analysis<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"challenges-with-scaling-generative-ai-on-premises\"><span class=\"ez-toc-section\" id=\"Challenges_with_scaling_generative_AI_on-premises\"><\/span>Challenges with scaling generative AI on-premises\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Scaling generative AI is like designing transportation methods for a quickly rising metropolis. Simply as city enlargement calls for trendy transportation infrastructure to perform effectively, AI leaders perceive that implementing AI in a significant approach requires a cloud basis that&#8217;s highly effective, versatile, and constructed to deal with future demand. AI leaders acknowledge that the ability and agility of the cloud is required to attain their desired outcomes.\u00a0\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">In reality, 72% of surveyed respondents whose group migration to Azure for AI-readiness reported that the migration was mandatory or diminished the obstacles to enabling AI.<\/li>\n<li class=\"wp-block-list-item\">65% of enterprise leaders agreed that deploying generative AI within the cloud would meet their organizational targets to keep away from restrictions and limitations of on-prem deployments.\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Companies that run most or all of their generative AI workloads on-premises face vital roadblocks. On-premises methods, typically missing the agility supplied by the cloud, resemble outdated roadways\u2014liable to congestion, tough to keep up, costly to broaden, and ill-equipped for right now\u2019s calls for. Companies trying to scale AI in these environments encounter difficult obstacles\u2014together with infrastructure limitations, a scarcity of specialised expertise, and integration challenges that sluggish innovation\u2014which might be irritating to beat. Challenges like restricted community bandwidth and fragmented knowledge environments additional complicate adoption.<\/p>\n<p class=\"wp-block-paragraph\">Deploying generative AI safely is essential to defending delicate knowledge, sustaining compliance, and mitigating danger. Surveyed decision-makers recognized 4 key areas of issues:\u00a0<\/p>\n<ol class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Knowledge privateness dangers<\/strong>, particularly with the proliferation of AI-generated content material.<\/li>\n<li class=\"wp-block-list-item\"><strong>Lack of know-how <\/strong>relating to generative AI safety finest practices.<\/li>\n<li class=\"wp-block-list-item\"><strong>Compliance complexities<\/strong> with evolving laws round AI use and knowledge safety.<\/li>\n<li class=\"wp-block-list-item\"><strong>Shadow IT dangers<\/strong>, as customers flip to unauthorized instruments and apps, exposing organizations to vulnerabilities.<\/li>\n<\/ol>\n<p class=\"wp-block-paragraph\">To beat these challenges, it\u2019s vital to associate with a cloud platform that gives built-in safety and regulatory compliance. Cloud migration supplies the scalable infrastructure, built-in functions, and AI-ready knowledge basis mandatory for generative AI success. Survey respondents who&#8217;ve already transitioned many or all AI workloads to Azure report enhanced world attain, scalability, and suppleness, all main benefits in right now\u2019s quickly evolving AI panorama.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"why-enterprise-chooses-azure-for-ai-readiness\"><span class=\"ez-toc-section\" id=\"Why_enterprise_chooses_Azure_for_AI-readiness\"><\/span>Why enterprise chooses Azure for AI-readiness\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Infrastructure limitations are a barrier to scaling generative AI. On-premises environments typically hinder efficiency, enhance prices, and sluggish innovation. In keeping with our survey, 75% of organizations migrating to Azure for AI-readiness reported that the migration was mandatory or it considerably diminished obstacles to generative AI adoption.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Whereas the advantages of deploying generative AI within the cloud are clear, groups nonetheless face hurdles in adopting AI responsibly. Vulnerabilities, restricted experience in AI safety, and knowledge privateness dangers are essentially the most outstanding issues. Azure addresses these issues with complete frameworks that safeguard generative AI workloads end-to-end, from growth to runtime.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Surveyed leaders cited Azure\u2019s colocation technique as a prime motive for partnering with Azure for deploying generative AI, eliminating knowledge silos and optimizing efficiency. <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/defender-for-cloud\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Defender for Cloud<\/a> and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/microsoft-sentinel\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Sentinel<\/a> improve safety and make Azure a trusted platform for protected, enterprise-grade generative AI deployment.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"4-key-differentiators-for-deploying-generative-ai-with-azure\"><span class=\"ez-toc-section\" id=\"4_key_differentiators_for_deploying_generative_AI_with_Azure\"><\/span>4 key differentiators for deploying generative AI with Azure<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 class=\"wp-block-heading\" id=\"1-enterprise-grade-security-and-compliant-solutions\"><span class=\"ez-toc-section\" id=\"1_Enterprise-grade_safety_and_compliant_options\"><\/span>1. Enterprise-grade safety and compliant options<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Safety issues are a main problem when deploying generative AI within the cloud. Azure protects AI workloads from code to cloud. Azure\u2019s multi-layered method helps trendy organizations meet compliance requirements and minimizes dangers throughout the whole AI lifecycle. Key options together with Defender for Cloud, Microsoft Sentinel, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/key-vault\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Azure Key Vault<\/a>, and <a href=\"https:\/\/azure.microsoft.com\/en-us\/resources\/cloud-computing-dictionary\/what-is-iaas\/\" target=\"_blank\" rel=\"noreferrer noopener\">infrastructure as a service (IaaS)<\/a> present end-to-end safety for generative AI workloads, making certain knowledge privateness, growth lifecycle safety, and menace administration. Backed by Microsoft\u2019s enterprise-grade safety, compliance, and accountable AI commitments, Azure empowers groups to construct AI options that aren&#8217;t solely highly effective but additionally <a href=\"https:\/\/www.microsoft.com\/en-us\/ai\/principles-and-approach\" target=\"_blank\" rel=\"noreferrer noopener\">moral, clear, and compliant<\/a>.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"2-scalable-cloud-infrastructure\"><span class=\"ez-toc-section\" id=\"2_Scalable_cloud_infrastructure\"><\/span>2. Scalable cloud infrastructure<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Azure\u2019s cloud infrastructure permits companies to keep away from the constraints of legacy environments, enabling them to launch AI tasks effectively and securely. Azure brings a collection of superior AI and machine studying instruments to the desk which might be mission important for generative AI success, enabling organizations to interrupt free from siloed knowledge, outdated safety frameworks, and infrastructure bottlenecks. By deploying generative AI within the cloud, companies can speed up innovation, streamline operations, and construct AI-powered options with confidence.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"3-unified-data-and-ai-management\"><span class=\"ez-toc-section\" id=\"3_Unified_knowledge_and_AI_administration\"><\/span>3. Unified knowledge and AI administration<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Efficient AI begins with a strong knowledge basis. Azure\u2019s knowledge integration and administration options\u2014<a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Cloth<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/synapse-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Synapse Analytics<\/a>, and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/databricks\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Databricks<\/a>\u2014allow organizations to centralize knowledge, enhance governance, and optimize AI mannequin efficiency. By shifting past the constraints of legacy on-premises environments, companies achieve seamless knowledge entry, higher compliance, and the scalability wanted to drive AI innovation for enterprise. With Azure, organizations can harness high-quality, well-governed knowledge to energy extra correct and dependable AI outcomes.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"4-faster-innovation\"><span class=\"ez-toc-section\" id=\"4_Quicker_innovation\"><\/span>4. Quicker innovation<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">By adopting Azure, assets will be redirected from infrastructure upkeep to AI-powered innovation. Azure\u2019s versatile, safe cloud atmosphere permits companies to experiment, adapt, and evangelize AI options with much less danger than conventional on-premises deployments. Surveyed organizations utilizing Azure reported greater than twice the arrogance of their means to construct and refine AI and machine studying functions in comparison with these counting on on-premises infrastructure. Key advantages embrace better flexibility, diminished danger when modifying AI options, and the power to reinvest infrastructure assets into AI upskilling and innovation.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"the-business-impact-of-secure-generative-ai-on-azure\"><span class=\"ez-toc-section\" id=\"The_enterprise_impression_of_safe_generative_AI_on_Azure\"><\/span>The enterprise impression of safe generative AI on Azure\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Migrating to Azure for AI deployment enhances efficiency and operational effectivity. Advantages embrace:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Optimized useful resource allocation<\/strong>: Migrating to the cloud frees IT groups from infrastructure administration, permitting them to concentrate on strategic initiatives\u2014akin to growing generative AI use instances\u2014that drive significant enterprise impression.<\/li>\n<li class=\"wp-block-list-item\"><strong>Accelerated time to worth<\/strong>: Azure AI providers empower knowledge scientists, AI and machine studying engineers, and builders, serving to them to ship high-quality fashions sooner.<\/li>\n<li class=\"wp-block-list-item\"><strong>Enhanced safety and compliance<\/strong>: Azure\u2019s built-in safety instruments defend workloads, cut back breach dangers, and meet evolving compliance requirements.<\/li>\n<li class=\"wp-block-list-item\"><strong>Larger AI software efficiency<\/strong>: Deploying generative AI with Azure improves software efficiency\u2014driving innovation and development.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" id=\"innovation-without-compromise\"><span class=\"ez-toc-section\" id=\"Innovation_with_out_compromise\"><\/span>Innovation with out compromise\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">As IT professionals and digital transformation leaders navigate the complexities of AI adoption, Azure stands out as a trusted associate for enterprise AI-readiness. With superior infrastructure, protected and accountable AI practices, and built-in safety, Azure presents a <a href=\"http:\/\/azure.microsoft.com\" target=\"_blank\" rel=\"noopener\">safe and scalable basis<\/a> for constructing and operating generative AI within the cloud. With Azure, organizations can unlock the total potential of generative AI to drive innovation, speed up development, and lasting enterprise worth.<\/p>\n<aside class=\"cta-block cta-block--align-left cta-block--has-image wp-block-msx-cta\" data-bi-an=\"CTA Block\">\n<div class=\"cta-block__content\">\n<div class=\"cta-block__image-container\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"575\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Azure_Blog_Abstract-04_1260x708-1-1024x575.jpg\" class=\"cta-block__image\" alt=\"A colorful lines on a white background\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Azure_Blog_Abstract-04_1260x708-1-1024x575.jpg 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Azure_Blog_Abstract-04_1260x708-1-300x169.jpg 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Azure_Blog_Abstract-04_1260x708-1-768x432.jpg 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Azure_Blog_Abstract-04_1260x708-1.jpg 1260w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/>\t\t\t<\/div>\n<div class=\"cta-block__body\">\n<h2 class=\"cta-block__headline\"><span class=\"ez-toc-section\" id=\"Forrester_Analysis\"><\/span>Forrester Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"cta-block__text\">Microsoft clients depend on Azure for AI-readiness to construct and run generative AI securely within the cloud<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/aside><\/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>Forrester Analysis reveals how Azure helps enterprises scale generative AI securely, overcoming infrastructure and compliance challenges to unlock actual enterprise worth. Generative AI is a transformative drive, redefining how trendy enterprises function. It has shortly develop into central to how companies drive productiveness, innovate, and ship impression. The strain is on: organizations should transfer quick [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-10322","post","type-post","status-publish","format-standard","has-post-thumbnail","category-cloud-computing"],"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/10322","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=10322"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/10322\/revisions"}],"predecessor-version":[{"id":10323,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/10322\/revisions\/10323"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/10324"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10322"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10322"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}