All you need to know about synthetic data!
MOSTLY BLOG
3 reasons to drop classic anonymization and upgrade to synthetic data now
The world is changing, and anonymous data is not anonymous anymore. Classic anonymization methods are no longer the fail-safe tools they once were. It’s time to upgrade to synthetic data!
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.
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.
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!
Customers’ trust is real gold – In 2020, 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.
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.
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?
Introducing MOSTLY GENERATE SaaS
Today I am thrilled and proud to announce the launch of MOSTLY GENERATE SaaS. This milestone speaks of our growth as a company, which we wouldn’t have reached without our devoted team of world-class experts and our dedicated customer base. We achieved yet another first in the industry.
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”.
Only a little bit re-identifiable?! Good luck with that…
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.
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.
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.
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
We are facing an unprecedented crisis that has changed our daily life in several ways and that spans virtually all aspects of society.
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)
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!
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 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…
Meet Our New CEO: Tobias Hann
This week is my first week as CEO of Mostly AI.
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 Diamonds
My colleague Mitch likens synthetic data to synthetic diamonds when pitching our value proposition to potential customers. And it’s indeed a fitting analogy.
