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”.

In the first part of this PrivacyTech in Banking series, I looked into the effect that privacy has on data-driven innovation in the financial services industry. Moving fast and breaking things is extremely bad advice when it comes to privacy.

Last Thursday (16th of July 2020) the European Court of Justice invalidated EU-US Privacy Shield with immediate effect.

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.

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!

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!

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!

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!

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!

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.

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.

Fairness is a vastly complex concept and as people tend to have different values their interpretations of fairness differ as well.

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.

While AI 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…

This week is my first week as CEO of Mostly AI.

What are the most important cybersecurity trends in 2020? How can CISOs identify the right security and privacy solutions for their company?

5 Mini-Videos for Innovators & Privacy Professionals

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 …

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…

“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  …

Experience the world’s most accurate Synthetic Data Generator today

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.

My colleague Mitch likens synthetic data to synthetic diamonds when pitching our value proposition to potential customers. And it’s indeed a fitting analogy.