Neha Patki

Neha Patki

Boston, MA

Core Contributor

Biography

Neha Patki is the VP of Product and co-founder of DataCebo, where she's revolutionizing Generative AI for enterprises.

Recent Posts

Differential Privacy for Synthetic Data (Part II): Trust-but-Verify
Product

You can trust that your software is applying differential privacy, but can you verify it for yourself? Use our framework to measure privacy for any synthesizer.

Neha PatkiAugust 14, 2025
7 signs a synthetic data software violates privacy
Applications

Are you evaluating synthetic data vendors? Look out for these signs that their software might be violating privacy.

Neha PatkiJuly 22, 2025
Differential Privacy for Synthetic Data (Part I): Synthesizer Disclosure
Product

Synthesizers are game-changers for data disclosure and differential privacy. Use them to create unlimited, differentially private synthetic data.

Neha PatkiJune 24, 2025
Synthesizers are data diversification engines – embrace them!
Product

Synthesizers can create diverse data that is also high quality. Check out how these two vital traits inform each other and drive great business outcomes.

Neha PatkiNovember 12, 2024
Meet the SDV Enterprise Multi-Table Synthesizers
Product

To create multi-table synthetic data, it's important to learn the connections between tables. Explore 3 different approaches to the challenge.

Neha Patki and Frances HartwellJuly 11, 2024
How ING Belgium Uses DataCebo’s SDV Enterprise to Create Synthetic Data for 100x the Test Coverage
Applications

ING Belgium uses SDV Enterprise for testing payments. Synthetic payments lead to 100x the test coverage in less than 1/10th the time.

Wim Blommaert and Neha PatkiMay 20, 2024
Launching SDV Enterprise: A Generative AI Solution for Tabular Data
Company

Our first commercial product, SDV Enterprise, takes the popular, public SDV software to the next level.

Neha PatkiDecember 07, 2023
Train an SDV Generative AI: A random subsample is all you need
Product

It is said that Generative AI requires large amounts of data for training. We've tested the SDV and found that a smaller subsample is all you need.

Neha Patki and Arnav ModiOctober 19, 2023
Improving synthetic data up to +40% (without building new ML models)
Engineering

See how we improved synthetic data without modifying the generative algorithms or affecting performance.

Neha Patki and Romain PalazzoAugust 28, 2023
Contextual Anonymization: The latest innovation for PII
Product

Can you anonymize PII without sacrificing usability? Explore the latest techniques in anonymization.

Neha PatkiMay 02, 2023

Blog Authors

The DataCebo Blog is a collaborative effort by the team.

Meet the authors

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