Policymakers need better ways to collaborate on data. AI-generated synthetic data received the strongest endorsement as a recommended tool from the EU's Joint Research Centre.

Banks need to bridge the gap between data and innovation. The 15 most valuable synthetic data use cases in banking help financial data experts decide where to start.

Synthetic data is quickly becoming a critical tool for organizations to unlock the value of sensitive customer data while keeping the privacy of their customers protected and in compliance with data protection regulations such as GDPR and CCPA. It can be generated quickly in abundance and has been proven to drastically improve machine learning performance. […]

In this webinar, you will learn about the options for cross-border data sharing in 2021 and how synthetic data makes the process easy and privacy-compliant.

This is the second part of our blog post series on truly anonymous synthetic data. While Part I introduced the fundamental challenge of true anonymization, this part will detail the technical possibilities of establishing the privacy and thus safety of synthetic data.

In this two-part series, we are taking a look at how data privacy legislation evolved and explore how technology can keep up with the demands of regulation.

Last Thursday (16th of July 2020) the European Court of Justice invalidated EU-US Privacy Shield with immediate effect.

As of January 1, 2020, the California Consumer Privacy Act (CCPA) went into effect, forcing many U.S. companies to improve their privacy standards. Thanks to the European Union’s General Data Protection Regulation (GDPR), some organizations...