Humana, the prominent U.S. health insurance provider set up a synthetic data sandbox with synthetic patient records to accelerate innovation.

Learn how insurance companies can increase profits by offering new products, optimizing pricing and risk and increasing customer satisfaction!

Training data needs to be annotated by humans in order to help the machines make sense of it. However, in just as many cases, that very same training data should not or must not be provided to humans due to its privacy -sensitive nature.

Working with SOC 2 certified vendors, such as MOSTLY AI, assures the customers that the vendor follows consistent security practices and are able to keep customers’ valuable data always safe and protected through the implementation of standardized controls as defined in the AICPA Trust Service Principles framework.

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.

The world is changing, and anonymous data is not anonymous anymore. Classic anonymization methods are no longer the fail-safe tools they once were. It's time to upgrade to synthetic data!

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.

Not all synthetic data is created equal and in particular, synthetic data generation today is very different from what it was 5 years ago. Let’s take a look at different methods of synthetic data generation from the most rudimental forms to the state-of-the-art methods to see how far the technology has advanced!

Banks and financial institutions need AI-generated synthetic data to leverage their AI and data opportunities in a safe and privacy-compliant way. MOSTLY AI’s synthetic data platform lets you do that with groundbreaking machine learning technology, ready to create privacy regulation compliant, highly accurate synthetic versions of datasets.