Generate now!

Michael Platzer

Michael co-founded MOSTLY AI in 2017 and led the company as CEO until 2020. As Chief Strategy Officer he is responsible for the long-term vision and strategic development of the company. Michael is a world class data scientist who held leading positions at Microsoft and Nokia before founding MOSTLY AI. He was awarded with the Global Marketing Research Award by the American Marketing Association. He holds a PhD degree from the Vienna University of Economics and Business and a Master degree from the Vienna University of Technology. Michael is a proud dad of two daughters and passionate for all kinds of sports including running, biking and baseball.
Blogposts written by Michael Platzer
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
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
AI training

The Future of Explainable AI rests upon Synthetic Data

AI governance requires access to models just as well as to data. However, sensitive training data cannot be shared further. MOSTLY AI’s highly representative synthetic data serves as a drop-in replacement to enable model documentation, model validation, as well as model certification.
by 
Michael Platzer
March 25, 2021
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
AI training

The World’s Most Accurate Synthetic Data Platform? Let’s check the Numbers!

MOSTLY AI’s synthetic data is highly representative granular-level data. But how good is it? What does it mean when we state “as good as real” or even “better than real”? And how can it be compared across offerings?
by 
Michael Platzer
September 25, 2020
AI training

Boost your Machine Learning Accuracy with Synthetic Data

At MOSTLY AI we take pride in offering the world’s most accurate synthetic data platform and that our AI-generated synthetic data is “as good as real”. It seems we might have been wrong on that one, and that it can be very well considered “better than real”.
by 
Michael Platzer
August 7, 2020
Data Privacy

Schrems II: Cross-Border Sharing of Personal Data Just Got More Complicated. Cross-Border Sharing of Synthetic Data Did Not.

Last Thursday (16th of July 2020) the European Court of Justice invalidated EU-US Privacy Shield with immediate effect.
by 
Michael Platzer
July 22, 2020
AI training

How To Unlock Your Behavioral Data Assets (Part 3)

Behavioural data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioural data your ultimate test case for choosing your preferred synthetic data solution!
by 
Michael Platzer
June 5, 2020
magnifiercross