Machine Learning X Doing Sports

Enhancing the games of soccer and basketball

The sports of soccer and basketball are more competitive than ever before. What if innovation could help teams get the most out of their talent, make life easier for players and empower them to compete at the highest possible levels?

Algorithmic fairness and responsibility for heightened effectiveness and impact

Empowering innovation, improving community empowerment and maximizing social impact

Athletes and algorithms should be complements, not substitutes


It is up to us all to make the world a better place, starting with the effectiveness and well-being of your sports team

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the city, by first introducing your organization to its true potential





Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics and a former computer science researcher at Cornell University. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning x Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential. He is based in Toronto, Canada.