DataCebo's Open-Source Library Enables Widespread Use of AI-Generated Synthetic Data for Software Testing
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Generative AI can create synthetic data to help test software applications and train machine learning models without using real sensitive data.
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MIT spinout DataCebo offers Synthetic Data Vault, an open-source library downloaded over 1 million times for generating synthetic tabular data.
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DataCebo is focused on software testing use cases - synthetic data can easily simulate edge cases to test software robustness.
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DataCebo released new tools to assess realism of synthetic data and compare performance of models.
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DataCebo believes 90% of enterprise operations can be done with synthetic data in the next few years as the technology transforms data work.