M365 Research
Pioneering advancements in AI and systems
Our mission
M365 Research is dedicated to pioneering advancements in AI and systems, driving the transfer of innovative technologies into our products, establishing Microsoft’s leadership in technical domains, and enhancing community engagement. Our goals are to:
- Advance cutting-edge research that boosts the productivity and intelligence of M365 products and services.
- Effectively transfer research innovations into practical solutions that empower internal engineering and product teams, ultimately delivering the benefits of the latest technological advancements to our customers.
- Maintain Microsoft’s leadership in the AI industry by ensuring our products provide our customers with transformative experiences through innovative functionalities.
- Support and cultivate a community that spans internal teams and external partners, fostering an ecosystem of shared knowledge and co-innovation in AI, through prominent research publications, active academic partnerships, and the attraction of leading industry talent.
Our research
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 domain customization technologies:
AI for Domains
Unlocking the potential of enterprise data for AI applications while safeguarding privacy and confidentiality. We develop AI technologies that deliver personalized, domain-adapted experiences that prioritize privacy.
AIOps
Deep workload understanding combining with AI/ML and algorithmic innovations to provide a step function improvement across operational efficiency, service reliability, developer productivity and sustainability.
Efficient AI
Focused on cross-stack optimizations spanning models, applications, infrastructure, and hardware. We aim for solutions that are not only faster and more cost-effective but also more environmentally friendly.
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