"Synthetic data is the perfect input into machine learning and AI" - read the EU report on synthetic data

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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.

Featured Blog

Blog

July 4, 2022

by

Ágnes Fekete

The Complete Guide to Synthetic Test Data Generation for Healthy Testing (UPDATED)

Smart, AI-powered synthetic test data represents a step change in how test data is generated. Check out the details and see how you can implement synthetic data generation in your test data management! 

15 synthetic data use cases in banking

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.

January 4, 2022

Synthetic data and machine learning trends 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. […]

December 23, 2021

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. […]

October 25, 2021

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.

October 14, 2021

Andreas Ponikiewicz

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!

Michael Platzer

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.

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.

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.

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.

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