This document discusses the need to balance data sharing with security when using predictive maintenance and condition monitoring systems. It notes that while sharing more data could enable better predictive capabilities, protecting sensitive data is also important. The presentation examines challenges like determining what types of data need to be shared versus kept private, and ensuring transparency between stakeholders in how data will be used and protected. The overall message is that predictive systems require both sharing key information for analysis while also maintaining appropriate privacy controls.