#124: If you are an application developer, more than likely you work with some sort of data set. But what do you do when you have sensitive data like credit card numbers, social security numbers or something as simple as a first and last name?
Enter Tonic.ai and their solution: de-identification of data. They take your sensitive data and de-identify it and then they give you a sanitized version of that same data that you can use to do your job without the risk of leaking the real data.
In today’s episode, we speak with Adam Kamor, a Co-founder and Head of Engineering of Tonic.ai, about their solution and approach to creating fake data.
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Adam Kamor, PhD, is the Co-founder and Head of Engineering of Tonic.ai. Since completing his PhD in Physics at Georgia Tech, Adam has committed himself to enabling the work of others through the programs he develops. In his roles at Microsoft and Kabbage, he handled UI design and led the development of new features to anticipate customer needs. At Tableau, he played a role in developing the platform’s analytics/calculation capabilities. As a founder of Tonic.ai, he is leading the development of data generation solutions that are transforming the work of fellow developers, analysts, and data engineers alike.
Viktor Farcic is a member of the Google Developer Experts and Docker Captains groups, and published author.
His big passions are DevOps, Containers, Kubernetes, Microservices, Continuous Integration, Delivery and Deployment (CI/CD) and Test-Driven Development (TDD).
He often speaks at community gatherings and conferences (latest can be found here).
His random thoughts and tutorials can be found in his blog TechnologyConversations.com.