{"id":10776,"date":"2025-09-11T06:00:04","date_gmt":"2025-09-11T13:00:04","guid":{"rendered":"http://approjects.co.za/?big=en-us/garage\/?p=10776"},"modified":"2025-09-11T07:39:23","modified_gmt":"2025-09-11T14:39:23","slug":"prism","status":"publish","type":"post","link":"http://approjects.co.za/?big=en-us/garage\/blog\/2025\/09\/prism\/","title":{"rendered":"Getting the right part to the right place at the right time\u00a0"},"content":{"rendered":"<p><span data-contrast=\"auto\">Please join us in celebrating PRISM\u2019s induction onto the Garage Wall of Fame.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Faced with the challenge of ensuring the right spare part is available at the right time for Azure\u2019s global datacenter fleet, a Microsoft Hackathon team built a predictive, AI-powered solution to transform the spares supply chain. Born at Hackathon 2024, PRISM uses advanced machine learning and live telemetry to forecast failures, generate early demand signals, and enable proactive spares placement\u2014keeping Azure\u2019s backbone strong for mission-critical operations.\u00a0<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">What started as a bold prototype is now a live, integrated system, already preventing outages and improving reliability for customers worldwide. PRISM\u2019s innovation is helping Azure meet the industry\u2019s \u201cfive nines\u201d standard for uptime, supporting everything from emergency response to global sporting events. The team\u2019s work is setting a new bar for predictive maintenance and supply chain agility\u2014expanding the legacy of fellow Garage Wall of Fame projects.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For the full story and detailed insights, read the complete article on <\/span><a href=\"https:\/\/aka.ms\/garage\/wof\/prism\"><span data-contrast=\"none\">PRISM<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The Garage Wall of Fame celebrates projects like this that change how we work, the way we think, and the way we engage with each other and our world. Discover more inspiring stories here\u2014with more to come soon.<\/span><span data-ccp-props=\"{&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Please join us in celebrating PRISM\u2019s induction onto the Garage Wall of Fame.\u00a0 Faced with the challenge of ensuring the right spare part is available at the right time for Azure\u2019s global datacenter fleet, a Microsoft Hackathon team built a predictive, AI-powered solution to transform the spares supply chain. Born at Hackathon 2024, PRISM uses advanced machine learning and live<span class=\"read-more-ellipsis\">&#8230;.<\/span><\/p>\n <p class=\"c-paragraph-3 read-more-link\"><a class=\"c-call-to-action c-glyph f-lightweight\" href=\"http://approjects.co.za/?big=en-us/garage\/blog\/2025\/09\/prism\/\">CONTINUE READING <span class=\"x-screen-reader\">\"Getting the right part to the right place at the right time\u00a0\"<\/span><\/a><\/p>","protected":false},"author":20,"featured_media":10767,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-10776","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-garage-general"],"acf":[],"yoast_head":"<title>Getting the right part to the right place at the right time\u00a0 | Microsoft Garage<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http://approjects.co.za/?big=en-us/garage\/blog\/2025\/09\/prism\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Getting the right part to the right place at the right time\u00a0 | Microsoft Garage\" \/>\n<meta property=\"og:description\" content=\"Please join us in celebrating PRISM\u2019s induction onto the Garage Wall of Fame.\u00a0 Faced with the challenge of ensuring the right spare part is available at the right time for Azure\u2019s global datacenter fleet, a Microsoft Hackathon team built a predictive, AI-powered solution to transform the spares supply chain. Born at Hackathon 2024, PRISM uses advanced machine learning and live....\" \/>\n<meta property=\"og:url\" content=\"http://approjects.co.za/?big=en-us/garage\/blog\/2025\/09\/prism\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft Garage\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-11T13:00:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-11T14:39:23+00:00\" \/>\n<meta property=\"og:image\" content=\"http://approjects.co.za/?big=en-us/garage\/wp-content\/uploads\/2025\/09\/Garage-blog-post-Homepage-image_v1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"279\" \/>\n\t<meta property=\"og:image:height\" content=\"156\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Ed Essey\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@MSFTGarage\" \/>\n<meta name=\"twitter:site\" content=\"@MSFTGarage\" \/>\n<meta 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