The Data Standard
The world is changing and privacy is becoming a huge concern. The area of machine learning on encrypted data is booming and expected to grow significantly over the next 5 years. In this episode of the Data Standard Audio Experience, we spoke with Alexander Fried, Director of Data and Computational Science at Flybits. In a recent talk, we described the importance of data, various methods for estimating the value of data, and emerging tools for incentivizing data sharing across organizations. As we noted, the main motivation for improving data liquidity is the growing importance of machine learning. We’re all familiar with the importance of data security and privacy, but probably not as many people are aware of the emerging set of tools at the intersection of machine learning and security.