William brings deep expertise in AI-driven learning and talent development. He is also an experienced public speaker who has presented at international conferences and executive forums.
 
William Rintz is a specialist in AI-driven talent strategy, with a focus on bridging the gap between enterprise AI adoption and workforce development. Holding a master’s degree in educational studies, he leads global initiatives at UMU, where he helps organizations unlock the full potential of their people through AI-powered learning. As a lecturer for UMU’s AI Talent courses, William combines practical frameworks with the latest research to equip leaders with the tools needed to build AI-ready workforces. His work sits at the intersection of learning science, digital transformation, and performance enablement.