Machine Learning X Doing Health

Effective warehouses and happy customers can come with better worker well-being. However, that takes the best technology possible. What if record performance made workers better off in terms of their work conditions and well-being?

Algorithmic fairness and responsibility for heightened effectiveness and social impact

Empowering health innovation, improving community safety and maximizing social impact throughout the health care process

Humans and AI 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 health care systems

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.