On May 27, KULG is hosting the “Data-Driven Running” workshop for running coaches and athletes, exploring how a data-driven and analytical approach can support training planning and athlete development, aligned with KULG’s mission to make scientific coaching more accessible and transparent.

Something has bothered me for years in sports tech: we treat the human body like a collection of separate dashboards. Heart rate, sleep quality, GPS, stress scores. Each metric lives in its own silo, reported as if it operates independently. But here's what we know from physiology and what every athlete intuitively feels: Everything is connected. Every cell, every mitochondrion, every nerve.

What if you could predict your athletes' injury risk before it happens - and adjust training in real time to prevent it? That's not science fiction anymore. The latest research shows AI-powered systems are now analysing multidimensional athlete data to predict optimal training loads with unprecedented accuracy.