| .. | ||
| compute-options.md | ||
| compute-to-data-algorithms.md | ||
| compute-to-data-architecture.md | ||
| compute-to-data-datasets-algorithms.md | ||
| compute-to-data.md | ||
| README.md | ||
| user-defined-parameters.md | ||
Compute to data
Ocean's "Compute-to-Data" feature enables private data to be bought & sold. You can sell compute access to privately-held data, which never leaves the data owner’s premises. Ocean-based marketplaces enable the monetization of private data while preserving privacy.
Compute-to-data resolves the tradeoff between the benefits of using private data, and the risks of exposing it. It lets the data stay on-premise, yet allows 3rd parties to run specific compute jobs on it to get useful compute results like averaging or building an AI model.
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.
Checkout these guides if you are aiming to get a deeper understanding on how compute-to-data works:
User Guides
- How to write compute to data algorithms
- How to publish a compute to data algorithm
- How to publish a dataset for compute to data