I'm a bit unclear on the goals for this startup. When you say "Github for Data" I'm thinking of a repository of datasets used for ML training or for more traditional research. But this:
> This so-called “synthetic data” is essentially artificial data that looks and works just like regular sensitive user data.
So its like Lorem Ipsum generator for data? Whats the use case here besides building apps with sample data? Notwithstanding potential privacy concerns, How am I confident that this is realistic if you literally say its generated?
General data repository for research with some mechanism to ensure cleanliness or integrity sounds much more useful to me.
> This so-called “synthetic data” is essentially artificial data that looks and works just like regular sensitive user data.
So its like Lorem Ipsum generator for data? Whats the use case here besides building apps with sample data? Notwithstanding potential privacy concerns, How am I confident that this is realistic if you literally say its generated?
General data repository for research with some mechanism to ensure cleanliness or integrity sounds much more useful to me.