Opinion: How AI will make pro racing even faster
May 23, 2024
Training diaries that live on the cloud have become the norm for most athletes over the last twenty years. And as data analysis has proliferated in everything from sleep quality to body weight, to heart rate to on-bike power, metrics are now drawn from algorithms to predict performance. Of course, many athletes also type in their daily emotions and health issues, from which trends are also seen, and interpreted.
What are the implications of cyclists sharing their biometric data with teams, coaches, and agents? Cycling Magazine