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Synthetic data for insurance

Three opportunities for insurers to increase their profits

Learn how insurance companies can increase profits by offering new products, optimizing pricing and risk and increasing customer satisfaction!
by 
Andreas Ponikiewicz
October 14, 2021
AI training

How To Scale Up Your Text Annotation Initiatives with Synthetic Text

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.
by 
Michael Platzer
August 4, 2021
About MOSTLY AI

It is official: MOSTLY AI is SOC 2 Type 2 certified!

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.
by 
Nikolina Bobar
March 30, 2021
Data Privacy

How can synthetic data solve cross-border data sharing? Our on-demand webinar on Schrems II is now available!

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.
by 
Ágnes Fekete
February 11, 2021
Data Privacy

3 reasons why organizations are moving away from legacy data masking

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!
by 
Ivona Krchova
November 25, 2020
Data Privacy

Truly anonymous synthetic data  - evolving legal definitions and technologies (Part II)

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.
by 
Michael Platzer
November 4, 2020
Data Privacy

Truly anonymous synthetic data  - evolving legal definitions and technologies (Part I)

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.
by 
Michael Platzer
November 4, 2020
Synthetic data for testing

The evolution of synthetic data: a comparison of three data generation methods

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!
by 
Manuel Pasieka
October 28, 2020
Synthetic data in banking

Customers’ trust is real gold - Financial institutions and banks need synthetic data. Here is why.

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.
by 
Ágnes Fekete
October 23, 2020
Synthetic data in banking

How to Scale AI in Financial Institutions -The Higher You Go, the More You See

Scaling AI - Is it on your 2021 Roadmap yet? More and more banks are implementing AI-powered solutions but fail at scaling them. AI applications reduce time, effort and cost for organizations of all sizes, taking care of crucial functions in fraud detection, personalization and customer assistance.
by 
Jeffrey Dobin
October 9, 2020
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