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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
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
Data Privacy

Synthetic data for strategy, innovation, and governance — the 5 most common business problems we can solve

In the following blog post, I'll give an overview of the most common data and privacy business problems I hear about from our clients.
by 
Alexandar Ivanovski
May 3, 2021
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
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
Synthetic data in banking

Quantifying the Value of Privacy-Preserving Synthetic Data

Companies theoretically spend money and make investments because they are looking for one thing: a positive return on investment (ROI). At the end of the day, that can be achieved through lowering costs or increasing revenues.
by 
Tobias Hann
July 13, 2020
Synthetic data in banking

Privacy - A Killer of Data-Driven Innovation for Banks?

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 
Amir Tabakovic
June 29, 2020
Data Privacy

On COVID-19, Digital Surveillance and Privacy-Preserving Alternatives

We are facing an unprecedented crisis that has changed our daily life in several ways and that spans virtually all aspects of society.
by 
Joao Vidigal
June 19, 2020
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