{"id":793670,"date":"2024-07-09T16:12:12","date_gmt":"2024-07-09T23:12:12","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=793670"},"modified":"2025-12-07T17:07:14","modified_gmt":"2025-12-08T01:07:14","slug":"m365-research","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/m365-research\/","title":{"rendered":"M365 Research"},"content":{"rendered":"
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M365 Research<\/h1>\n\n\n\n

Pioneering advancements in AI and Systems<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n\n\n

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Our research<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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M365 Research, consisting of over 40 researchers globally, is at the forefront of AI and systems research, working in sync with Microsoft Research and leading academic institutions. We are organized around three principal research pillars that support our commitment to Operational excellence, AI efficiency and foundational Agentic technologies:\u200b<\/p>\n\n\n\n

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Agents4Productivity<\/strong><\/h4>\n\n\n\n

Advance foundational components for productivity agents – such as orchestration, tool use, memory, and robust planning through composable design. Accelerate technology transfer and close the operationalization gap for agents.<\/p>\n\n\n\n

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AIOps<\/strong><\/h4>\n\n\n\n

Achieve step function improvement in Cloud Reliability, Developer Productivity and Fleet Efficiency across our services which ultimately boost Microsoft’s customer experience and trust when adopting our product and services.<\/p>\n\n\n\n

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Efficient AI<\/strong><\/h4>\n\n\n\n

Focused on cross-stack optimizations spanning the full stack: model architectures, applications, infrastructure, and hardware. We aim for innovative solutions that are not only faster\u00a0but also more cost-effective.<\/p>\n\n\n\n

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Latest news<\/h2>\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n\n\n\n
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Work with us<\/h2>\n\n\n\n

We are hiring!<\/font><\/p>\n\n\n\n\n\n

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Pioneering advancements in AI and Systems<\/p>\n","protected":false},"featured_media":1048698,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13558,13547],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-793670","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-security-privacy-cryptography","msr-research-area-systems-and-networking","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[],"related-researchers":[{"type":"user_nicename","display_name":"Saravan 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