An end-to-end turnkey research framework to accelerate Canadian research outcomes
Please contact your Microsoft Account Manager or Healthcare Industry Lead for more information.
Why Leverage Cloud & AI for Research?
Onboarding and cloud migration
Leverage best practices in onboarding your research workloads with a Cloud Assessment and cost estimation to evaluate cost savings and ROI on Cloud.
Security and Governance
Create a separate landing zone and Azure subscription for the research teams with a governance, compliance, and security layer and data access control built in.
Data, Analytics, and AI Platforms
Prepare and access shared datasets, learn no-code and low-code platforms while leveraging AI and advanced analytics for reproducible workflows and better research outcomes. Harness cutting edge research tools in data-deidentification, metadata management and explore data bias as part of Microsoft’s core principles of responsible AI.
Cloud Compute
Access high-performance compute (HPC) in our cloud or extend existing local HPC to virtually unlimited VMs including DSVMs. Harness confidential computing to and an extra layer of privacy while processing PHI data in healthcare, genomics research and medical image processing.
Collaboration & Development Platforms
Participate in a shared environment for researchers to co-develop and share their research findings. Gain insights into productizing cutting-edge algorithms into solutions while get access to publicly available datasets hosted on Azure in partnership with research organizations across the world.
Training and Support
Receive extensive training on migrating research workloads to the cloud, recommendations to our partner ecosystem which specialize in research workload architecture and support from our Responsible AI team creating AI-infused solutions.