IDG Contributor Network: Azure Stack and the role of context

There were dozens of announcements at Microsoft’s Build conference last week, but perhaps one caused the most angst among the cloud cognoscenti.

I’m referring to the upcoming general availability of Azure Stack. Microsoft’s offering will let organizations leverage the Azure cloud operating system, but only within the context of an on-premises deployment.

Azure Stack has something of a checkered past — it has been announced, in one guise or another, more than once. I remember years ago the notion of a private cloud deployment that would involve Microsoft software and partner hardware. That never really eventuated, and things went quiet.

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How to make Fully Homomorphic Encryption “practical and usable”

Fully Homomorphic Encryption (FHE) for years has been a promising approach to protecting data while it’s being computed on, but making it fast enough and easy enough to use has been a challenge.

The Intelligence Advanced Research Projects Activity, which has been leading the Department of Defense’s examination of this topic, recently awarded research and development firm Galois a $1M contract to explore ways to bring FHE to programmers. 

The goal, says Galois Principal Investigator Dr. David Archer, is making FHE “practical and usable,” and his outfit is working with researchers at the New Jersey Institute of Technology on this front via the Rapid Machine-learning Processing Applications and Reconfigurable Targeting of Security (RAMPARTS) initiative

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How to make Fully Homomorphic Encryption “practical and usable”

Fully Homomorphic Encryption (FHE) for years has been a promising approach to protecting data while it’s being computed on, but making it fast enough and easy enough to use has been a challenge.

The Intelligence Advanced Research Projects Activity, which has been leading the Department of Defense’s examination of this topic, recently awarded research and development firm Galois a $1M contract to explore ways to bring FHE to programmers. 

The goal, says Galois Principal Investigator Dr. David Archer, is making FHE “practical and usable,” and his outfit is working with researchers at the New Jersey Institute of Technology on this front via the Rapid Machine-learning Processing Applications and Reconfigurable Targeting of Security (RAMPARTS) initiative

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