With experience in leading engineering efforts at institutions such as the Johns Hopkins University Applied Physics Laboratory, Enveil CTO Dr. Ryan Carr’s fields of expertise include large scale analytic systems, distributed algorithms, AI, game theory and social learning, and applying cloud computing techniques to simulate and analyze complex interactions among large numbers of autonomous agents.
His research in these areas has been published in highly competitive venues such as Proceedings of the Royal Society, AAAI, and AAMAS. Ryan holds a PhD/BS in Computer Science.
What is your point of difference as a business?
From a big picture perspective, we’re helping our customers overcome barriers that prevent them from most effectively leveraging data. The ability to securely and privately use the data you need allows organizations to make better, more efficient decisions across a wide-range of verticals. We enable our customers to share and collaborate between entities, jurisdictions, and other data silos in ways that are otherwise not possible because of regulatory or security restrictions.
It’s been really interesting to drive the formation of a new category around the use of Privacy Enhancing Technologies (PETs) because I think we’re only beginning to scratch the surface in terms of the value the technology can deliver. I would argue that not only are we solving direct customer needs, we are also helping lead a digital transformation.
What exciting plans do you have coming up as an organization?
We’ve recently been focused on an encrypted training capability for our ZeroReveal Machine Learning product. This capability allows our customers to train machine learning models over datasets that reside in environments they wouldn’t normally trust to see the model, and allows data owners to let external parties train over their data without exposing the underlying data. This delivers an unmatched ability to derive insights from data without the need to trust other parties during computation. It’s a capability our customers have been asking for so I’m excited to see the ways it will add business value for ML and data science use cases.
Read full interview here.