Data Analytics and Blockchain
Data analytics and machine learning are hugely valuable, providing insights and spurring advancements in many industries including IoT, healthcare, and financial services.
Unfortunately, the data that powers these advancements is often highly sensitive. For example, medical research requires access to sensitive patient data. In many cases this data cannot be accessed or shared due to privacy concerns. This results in data silos in which data is not used for its full potential value.