Enterprise use cases today (e.g., ML training, sales demos, incident response, testing) are bottlenecked by lack of access to realistic and relevant data due to data sharing and data sparsity constraints.
What is Synthetic Data
Synthetic data is an artificially generated data mimicking the characteristics of real-world data using Deep Generative Models that can learn the structure of a dataset and produce new data samples.
Why Synthetic Data
Synthetic data can unblock enterprise use cases using because of its flexibility and backwards compatibility with existing use cases, compared to alternatives like anonymization, computing over encrypted data, or federated learning.
What is Synthetic Data
Synthetic data is an artificially generated data mimicking the characteristics of real-world data using Deep Generative Models that can learn the structure of a dataset and produce new data samples.
Why Synthetic Data
Synthetic data can unblock enterprise use cases using because of its flexibility and backwards compatibility with existing use cases, compared to alternatives like anonymization, computing over encrypted data, or federated learning.
The Rockfish Solution
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To test the "magic" of Rockfish for yourself, contact us for a trial version |