Unlocking the value of Private Data with Privacy-Preserving Analytics and Confidential Computing
Bob Rogers, Expert in Residence for AI to UCSF, and Richard Searle of Fortanix will discuss how to implement privacy-preserving analytics using confidential computing to protect private data. Bob Rogers discusses how Fortanix is providing confidential computing to secure data and applications within the UCSF Center for Digital Health BeeKeeper AI project, which will accelerate the development of clinical healthcare AI algorithms using regulated data. Nehal Bandi will demonstrate how to use containerized AI applications in secure enclaves using Fortanix solutions.
Speakers:
Nehal Bandi
Fortanix
Richard Searle
Fortanix
Bob Rogers
UCSF
In this webinar you will learn:
- An Introduction to confidential computing.
- Lessons learned from the UCSF Beekeeper AI project.
- How to implement privacy-preserving analytics using confidential computing.
- A demonstration of using containerised applications in secure enclaves.
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Bob Rogers, Expert in Residence for AI to UCSF, and Richard Searle of Fortanix will discuss how to implement privacy-preserving analytics using confidential computing to protect private data. Bob Rogers discusses how Fortanix is providing confidential computing to secure data and applications within the UCSF Center for Digital Health BeeKeeper AI project, which will accelerate the development of clinical healthcare AI algorithms using regulated data. Nehal Bandi will demonstrate how to use containerized AI applications in secure enclaves using Fortanix solutions.
Speakers:
Nehal Bandi
Fortanix
Richard Searle
Fortanix
Bob Rogers
UCSF
In this webinar you will learn:
- An Introduction to confidential computing.
- Lessons learned from the UCSF Beekeeper AI project.
- How to implement privacy-preserving analytics using confidential computing.
- A demonstration of using containerised applications in secure enclaves.
