Hugo speaks with JD Long, VP of risk management for Renaissance reinsurance, about applications of data science techniques to the omnipresent worlds of insurance, reinsurance, risk management and uncertainty. What are the biggest challenges in insurance and reinsurance that data science can impact? How does JD go about building risk representations of every deal? How can thinking in a distributed fashion allow us to think about risk and uncertainty? What is the role of empathy in data science?