 in science and technology. For example, more data [improves](https://research.google.com/pubs/archive/35179.pdf) 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.](/static/c94141394762d2a62f7650f6c5b2eb4d/89e13/feature-compute%402x.webp)
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.
Control
Data owners retain control of their data, since the data never leaves the premises.
Huge datasets
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.
Compliance
European data protection regulations (GDPR) require sensitive data to stay on European soil. C2D makes that easy, since data stays on-prem.
How It Works
Data owners approve AI algorithms to run on their data. Compute-to-Data orchestrates remote computation and execution on data to train AI models, while preserving the privacy of the data.
Private data aids in research, leading to life-altering innovations in business, science and technology. For example, more data improves the predictive accuracy of modern AI models.