SET THE TREND WITH DATA NOW
Data-driven fashion design for professional and behavioral impact
UNDERSTAND. INNOVATE. SOLVE.
Innovate and be data-driven
THE FUTURE OF BUILDING IS NOW
Machine Learning X Doing Fashion for anticipating trends, as well as psychological and professional impact
Machine learning and AI are powerful innovations, with implications on men’s fashion and style.
Stay ahead of trends that have positive behavioral impact. Machine Learning X Doing Fashion goes beyond apparel design and uses behavioral science to capture positive sentiments and elements of leadership. What we need to change the world is AI based on what it means to be human.
AI must create new opportunities for creativity and expression. AI could help clothing improve human productivity, relationships, standards of living, and even mental health.
AI systems only augment fashion experts in the creative process. It does not replace their efforts.
There is new potential to empower consumers, models and designers so that the economic and social impact of your brand are complements, not substitutes.
That potential is here now. Next-level AI
It is up to us all to make the world a better place, starting with how your clients see themselves in your clothing brand.
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 world, 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.