
Ramy is a Canadian engineer, designer and maker. As the former Head of Innovation for Mattel and Managing Director for Architech, he has led teams in the creation of disruptive products, services & platforms across retail, CPG and financial services. He currently leads a boutique digital strategy consultancy called 1000 Days Out, focused on proposition design as it applies to corporate innovation.
With a background in computer engineering and Design Thinking, Ramy has straddled technical, design, and business-oriented roles, for clients including Cadillac Fairview, Apple, Air Canada, Facebook, New Balance, Rogers and CIBC.
Ramy is a regular speaker at international events including World Usability Congress, IxDA, Machine Learning Exchange, AI Business Summit and Mobile World Congress. Ramy teaches Design Thinking at McMaster University as well as a range of topics at Saint Mary’s University, Ryerson, and the University of Toronto. He is currently authoring the AI Product Design Handbook, slated for publication in early 2020.
Sessions
This interactive workshop gives participants a deep dive into AI, machine learning, and related emerging technologies, through the lens of Design Thinking. The Design Thinking approach provides individuals & teams a unique, repeatable and scalable approach that can be applied to building better AI-enabled solutions.
Participants will walk away with a set of practical tools, methods &...
This interactive workshop gives participants a deep dive into AI, machine learning, and related emerging technologies, through the lens of Design Thinking. The Design Thinking approach provides individuals & teams a unique, repeatable and scalable approach that can be applied to building better AI-enabled solutions.
Participants will walk away with a set of practical tools, methods &...
This interactive workshop gives participants a deep dive into AI, machine learning, and related emerging technologies, through the lens of Design Thinking. The Design Thinking approach provides individuals & teams a unique, repeatable and scalable approach that can be applied to building better AI-enabled solutions.
Participants will walk away with a set of practical tools, methods &...