Statice's synthetic data technology is now part of Anonos Data Embassy, the award-winning data security and privacy solution.
Learn about Statice’s participation in Startup Creasphere digital health program. We discuss the data challenges in the healthcare industry and our collaboration with Roche to test the use of synthetic medical data for clinical research.
In this post, we list 10 use-cases for privacy-preserving synthetic data. Learn how enterprises are leveraging synthetic data to generate value.
Read how a Swiss insurance company implemented privacy-preserving machine learning to future-proof its data operations. La Mobilière validated the use of synthetic data in the context of data privacy protection, adding a new tool in their digital transformation toolbox.
This blog presents the concept of privacy-preserving synthetic data. Learn about the definition of synthetic data, its origin in the context of data privacy, and its benefits for organizations.
What constitutes data anonymization is often debated within the scientific community. Regulators frequently revise the definitions of anonymized data within legal frameworks such as GDPR. So it is safe to wonder, what exactly is anonymized data? And is anonymized data truly anonymous?
Discover the landscape of Privacy Enhancing Technologies (PETs) and some of their applications. Building upon the concept of Privacy by Design, these technologies hold many opportunities for organizations, such as compliance for instance.
This is the first in a series of interviews we have planned with individuals who leverage data in their everyday work. We’re stoked to kick off the series with none other than Sunaina Swaminathan, Head of Data Acquisition at M Science!
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Today’s blog post comes from Statice’s newest hire, Peter. Peter joined Statice with a diverse background in several B2C businesses, and wanted to share some of his insights on getting up to speed in the very specific niches of digital transformation, privacy-preserving data science and machine learning.
We recently hosted our first webinar on data privacy and digital transformation, and wanted to share the slides and some great audience questions on Statice vs federated learning, brute forcing anonymization methods, and maintaining outliers in synthetic data.
