All you need to know about synthetic data
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!
On COVID-19, Digital Surveillance and Privacy-Preserving Alternatives
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!
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!
How To Unlock Your Behavioral Data Assets (Part 2)
Contact How to Unlock Your Behavioral Data Assets(Part 2) TL;DR: Behavioral data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioral data your ultimate
How to Unlock Your Behavioral Data Assets (Part 1)
Behavioral data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioral data your ultimate test case for choosing your preferred synthetic data solution!
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.
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.
We Want Fair AI Algorithms – But How To Define Fairness? (Fairness Series Part 3)
Fairness is a vastly complex concept and as people tend to have different values their interpretations of fairness differ as well.
10 Reasons For Bias In AI And What To Do About It (Fairness Series Part 2)
You may remember that back in 2015 Google was called out for its photo app that mistakenly labeled pictures of people with darker skin color as “gorillas”. As you can imagine, it was a PR disaster back then.
Why Bias in AI is a Problem & Why Business Leaders Should Care (Fairness Series Part 1)
While Artificial Intelligence has remarkable potential to analyze and identify patterns even in very large
datasets and to help humans to make more informed decisions, the examples mentioned above were
by far not the only incidents where customers or researchers are concerned about machine learning
models exhibiting discriminatory behavior based on gender, race or sexual orientation.
Cyber Insights by SOSA Interview with Michael Platzer
What are the most important cybersecurity trends in 2020? How can CISOs identify the right security and privacy solutions for their company?
Everything You Need to Know About Synthetic Data!
5 Mini-Videos for Innovators & Privacy Professionals
Protecting Privacy with Synthetic Location Data
It’s 2020, and I’m reading a 10-year-old report by the Electronic Frontier Foundation about location privacy that is more relevant than ever. Seeing how prevalent the bulk collection of location data would become, the authors discussed …
The CCPA, Facebook’s Potential $60 Billion Fine & How AI Improves Compliance
As of January 1, 2020, the California Consumer Privacy Act (CCPA) went into effect, forcing many U.S. companies to improve their privacy standards. Thanks to the European Union’s General Data Protection Regulation (GDPR), some organizations…
Rolling the Dice With Privacy?!
“Knowledge is power” should be a familiar quote for most of us. But did you know that in the earliest documented occurrence of this phrase from the 7th century the original sentence finishes with …
MOSTLY GENERATE Demo Version Now Publicly Available!
Experience the world’s most accurate Synthetic Data Generator today
Being Open in the Era of Privacy
When Netflix announced a 1 million dollar challenge for improving their recommendation engine, together with releasing 100 million movie ratings in 2006, they knew little what would happen next.
Synthetic Data Daimonds
My colleague Mitch likens synthetic data to synthetic diamonds when pitching our value proposition to potential customers. And it’s indeed a fitting analogy.
