The meat processing industry has made significant progress reducing workplace injury rates, yet still faces challenges in driving the recordable incident rate down to zero. As we look to data-driven approaches to address the issue, nearly all our safety data collection and reporting systems are backward-looking: incident reports; dashboards; compliance monitoring systems, etc.  In an age where buzz phrases such as “big data”, “machine learning”, and “AI” inundate us, how can we distinguish hype from reality?  Are there ways to use safety data in a forward-looking, predictive sense? This presentation will demonstrate real world examples where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risk.