The most valuable data is private data — using it can improve research and business outcomes. But concerns over privacy and control make it hard to access. With Compute-to-Data, private data isn’t directly shared but rather specific access to it is granted.
It can be used for data sharing in science or technology contexts, or in marketplaces for selling private data while preserving privacy, as an opportunity for companies to monetize their data assets.
Private data can help research, leading to life-altering innovations in science and technology. For example, more data improves the predictive accuracy of modern Artificial Intelligence (AI) models. Private data is often considered the most valuable data because it’s so hard to get at, and using it can lead to potentially big payoffs.
Data owners retain control of their data, since the data never leaves the premises.
Data owners can share or sell data without having to move the data, which is ideal for very large datasets that are slow or expensive to move.
Having only one copy of the data and not moving it makes it easier to comply with data protection regulations like GDPR.
Compute-to-data gives proof that algorithms were properly executed, so that AI practitioners can be confident in the results.