Proprietary data
Information owned by a company, not shared publicly, used to train AI or for specific business applications.
Proprietary data is information that a company owns and keeps private. It's not something you can find on the internet or in public records. Companies use this data for many reasons, like improving their products or services.
For example, a retail company might have detailed sales records and customer purchase histories. This is their proprietary data. They could use it to train an AI model to recommend products to shoppers, like in the case of Target working with OpenAI. This helps them offer personalized experiences without revealing their internal business information.
Proprietary data refers to information that is owned, controlled, and not publicly accessible by an entity. This data is often a valuable asset, used internally for competitive advantage, product development, or as a basis for training custom AI models. Its use in AI development, particularly for fine-tuning or creating specialized applications, requires careful management to maintain its confidential nature and comply with any relevant data governance policies.
Tradeoffs involve balancing the utility of proprietary data for AI advancement against the risks of data leakage, privacy violations, and the cost of secure data handling and storage. Access controls, anonymization techniques, and secure training environments are crucial when working with such sensitive information.
Frontier AI labs are increasingly partnering with businesses that possess unique datasets. These collaborations aim to leverage proprietary data for training specialized AI models or building new AI-powered customer experiences, as seen with OpenAI's partnerships. This trend highlights the growing value of exclusive data in developing advanced AI applications.
- OpenAI and Target team up on new AI-powered experiencesOpenAI · OpenAI News ·
- OpenAI partners with Scale to provide support for enterprises fine-tuning modelsOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI uses proprietary data from partners to build integrated AI experiences and fine-tune models for enterprise clients.
- Public data
- Information that is freely available to everyone, such as governmen
- Personal data
- Information that relates to an identified or identifiable individ
- Trade secrets
- Specific types of proprietary information that provide a competit
The concept of proprietary data is fundamental to business and law, referring to any information owned by an entity that is not in the public domain. Its application in AI is a modern extension of this principle.
Explore how AI can use data by trying a product recommendation feature on a retail website. Notice the suggestions you receive based on your browsing or purchase history. This is a simplified example of how AI can leverage proprietary data to offer personalized experiences.
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Questions people ask
- What's the difference between proprietary data and public data?
- Proprietary data is owned and kept private by a company, while public data is freely available to anyone.
- Can AI models be trained on proprietary data?
- Yes, companies often use their proprietary data to train or fine-tune AI models for specific business needs.
First seen on Subvolts Aug 24, 2023. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.