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The Synthetic Data Blog

If you want to learn about the latest developments in the synthetic data space, you are in the right place. The synthetic data blog covers the latest developments, research results and business best practices.
Data Privacy

Four major trends in synthetic data and AI in 2022

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. […]
by 
Tobias Hann
January 4, 2022
About MOSTLY AI

MOSTLY AI’s 2021 Highlights

2021 has passed in the blink of an eye, yet MOSTLY AI can be proud as this was a revolutionary year of many extraordinary achievements. While we are already excited for what 2022 holds for us, we are taking a step back to look at the highlights and major milestones we have accomplished in 2021. […]
by 
Nikolina Bobar
December 23, 2021
Synthetic data for testing

The top test data challenges and their solutions

We've been talking to our friends in testing, brainpicking them to see where they need help the most.
by 
Ágnes Fekete
October 25, 2021
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
Synthetic data in banking

How to win the digital transformation race? By personalizing the digital banking experience with synthetic data!

Data-driven personalization analyzes customer data in real time. Machine-learning models provide personalized services based on the customer's financial profile. These machine-learning models need quality data—and lots of it.
by 
John Sullivan
July 7, 2021
Fairness and bias mitigation

A new age in AI — MOSTLY AI's response to MIT Technology Review's recent article on fair synthetic data

Cathy O'Neil says, 'Synthetic data is likely to get better over time, but not by accident.' We couldn't agree more, and our world-class team of scientists and engineers is constantly working on just that.
by 
Ágnes Fekete
June 29, 2021
About MOSTLY AI

Eye to eye with MOSTLY AI: Andreas Ponikiewicz, VP of Global Sales

MOSTLY AI has gathered a team of exquisite experts and data science enthusiasts. We would like you to meet our team 'eye to eye' and get to know all our devoted Mostlies who ensure that we deliver the best product and stand out in the market.
by 
Nikolina Bobar
June 8, 2021
Fairness and bias mitigation

The State of Fair Synthetic Data in 2021

Any machine learning model that is trained on fair synthetic data will be representative of the real world but fair by design.
by 
Michael Platzer
May 28, 2021
AI training

Synthetic geo data with MOSTLY AI 1.5

MOSTLY GENERATE now ships with geo data support, thus allowing any organization to synthesize and truly anonymize their geo enriched data assets at scale. In this blogpost we present examples of synthetic geo data using publicly available datasets.
by 
Michael Platzer
May 25, 2021
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