To enhance returns, develop dynamic risk limits and beat competition, asset managers and hedge funds are increasingly turning to alternative data. But what’s driving the big demand for this unconventional information? Where does machine-learning come into play? And how can users choose the right data to mitigate long-term risk and make strategic decisions? For the answers, check out Alla Gil’s latest column in GARP, which you can read here.