🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data

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Paul Tiwald

Head of Data Science

Paul joined MOSTLY AI in 2017 as the first employee. He leads the company’s data science and research initiatives and is heavily involved in client-facing activities. Prior to joining MOSTLY AI, he was working as a researcher and university assistant at the Vienna University of Technology. He holds a PhD degree in Theoretical Physics from that university. Paul is passionate about sports - in particular, cross country skiing, road biking, and beach volleyball.

Blogposts written by Paul

October 1, 2024

Benchmarking Synthetic Text Generation: MOSTLY AI vs. GPT-4o-mini in Wine Review Prediction

In this blog post, we present the results of a benchmark study comparing the performance of regression models trained on synthetic and original data. Our aim is to evaluate how well models trained on synthetic text, generated using the MOSTLY AI platform, perform compared to models trained on original data, as well as synthetic data […]

Fair synthetic data generation

Diving Deep Into Fair Synthetic Data Generation (Fairness Series Part 5)

In the previous part of this series, we have discussed two risks entailed in the rise of digitalization and artificial intelligence: the violation of the privacy and fairness of individuals.

Achieving AI fairness

Tackling AI Bias At Its Source – With Fair Synthetic Data (Fairness Series Part 4)

In the age of digitalization and the rise of artificial intelligence, more and more tasks in public and private organizations are managed or supported by computers and machine-learning algorithms.

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