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7 signs a synthetic data software violates privacy
Are you evaluating synthetic data vendors? Look out for these signs that their software might be violating privacy.
Boosting Fraud-Detection Accuracy with Synthetic Data
Using a model from the Synthetic Data Vault (SDV), a UCLA team has shown that credit card fraud-detection can be dramatically improved by generating synthetic case data consistent with past examples of fraud. They show that they can reduce the false negatives by a factor of 20x.
How ING Belgium Uses DataCebo’s SDV Enterprise to Create Synthetic Data for 100x the Test Coverage
ING Belgium uses SDV Enterprise for testing payments. Synthetic payments lead to 100x the test coverage in less than 1/10th the time.
The SDV Flights Synthesizer: Generative AI for Flight Scenarios
Use the SDV Flights Synthesizer to simulate disruptive scenarios and improve software resilience.
Can you use synthetic data for label balancing?
Imbalanced data can prevent your projects from succeeding. Will synthetic data work? Explore the rationale behind label balancing.
ML Model Development using Synthetic Data Clones
What happens when you train a machine learning model on synthetic data instead of real data? Let's experiment to find out.
Software Testing: Synthetic data changes the game
Creating fake data is an old concept -- but machine learning is a whole new ballgame. Learn about why ML is a key ingredient to synthetic data.
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