Ted Myerson: Big data needs big privacy
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- Опубликовано: 7 сен 2024
- You don’t have to give up privacy to maximize the value and use of data, says Ted Myerson. Privacy laws greatly restrict the sharing of medical data, which prevents researchers around the world from collaborating to find cures for diseases. However, there is a way to change how the data is shared that maintains privacy, so that researchers can look beyond their own labs and breakthroughs can happen.
Ted Myerson is co-founder of Anonos. Anonos BigPrivacy technology de-risks data to maximize its value while complying with privacy and security requirements. Previously, Ted founded FTEN (since acquired by NASDAQ), which manages real-time risk management for in more than 80 global financial markets. Ted is also an inventor who holds eight US patents (4 for Anonos technology) and has several more pending.
The TED Residency program is an incubator for breakthrough ideas. It is free and open to all via a semi-annual competitive application. Those chosen as TED Residents spend four months at TED headquarters in New York City, working on their idea. Selection criteria include the strength of their idea, their character, and their ability to bring a fresh perspective and positive contribution to the diverse TED community.
Unlocking the full value of data is a revolutionary idea. Ted, great job communicating need and value for big privacy.
Visionary that they could see the emerging restrictions on the use of big data 4 or 5 years ago and develop technology that enables compliance while "unlocking" the full value of big data. Should prove invaluable to every company that depends on big data.
Why can’t I have direct management of my data? That would be better and more secure.
BigPrivacy, as Myerson describes it, is in fact a requirement for businesses in Big Data/AI/machine learning environments. Here's a short explanation of why this is so.
Due both to the EU's General Protection Data Act (GDPR) as well as to HIPAA-based and other restrictions in the US, this is right on the mark. The most important medical research requires stores of data to reveal non-obvious correlations and potential causations of diseases and disease processes.
The problem is, as Myerson notes, that you can't simply provide all the data to researchers because it reveals the identity of the person with the disease and tons of personal information about that person. So it's a privacy violation.
But what's worse is that the so-called methods of protecting that person's privacy fail for one of two reasons: either they are so protective that no useful data can be revealed, defeating the purpose of the medical research and rendering it useless or that data can be provided to the researchers, but then it's still possible, using advanced statistical and heuristic methods, for bad actors to uncover the identity of the person who had the disease.
In other words, present privacy protective methods fail to adequately protect privacy which is why the GDPR won't even permit their use. So you're back to square zero.
That's where BigPrivacy comes in. Because it uses a completely different method of protecting privacy, it's no longer possible to uncover the original person's identity. Therefore, BigPrivacy complies with the GDPR (and, of course, with HIPAA). At the same time, BigPrivacy allows all of the data the researchers need to be revealed to them, without that privacy compromise. So the value of the data itself is maximized at the same time that the strength of privacy protection is also maximized. BigPrivacy, which employs patented technology that includes the use of dynamic de-identifiers (rather than static), as well of a host of other technologies beyond the scope of this comment, is the only way to achieve this dual maximization.
What's wrong with his face? What a creep
This is what you got from it? Listen again. This is important technology. Look up the GDPR and you'll understand why. Also, looks like a brilliant and good-looking guy to me.
up one he looks normal. Idk what your problem is