About this Case Study
By uncovering insights and patterns, hidden deep in massive data sets, we can leverage highly contextual quantitative research to inform exactly where to focus high-touch qualitative user research.
Working hand-in-hand, designers and data scientists can collaborate to better understand the behaviours, needs and desires of large populations.
With a computer engineering background and now working in design leadership, I'll share a unique perspective on this intersection point. A passion for data/insight driven design fuels the work I do, and this work is transforming as our tools give us deeper insights and understanding of user needs and behaviours.
With the emergence of AI (in the forms of machine learning, deep learning, predictive analytics, etc.), the role of the designer is on the cusp of going through a radical transformation.
The opportunity for designers is massive! You will walk away having seen a few great use cases, but also armed with some tools and new insights into how you can apply this to your individual practice.
About the Speaker
Ramy is a Canadian engineer, designer and maker. As director of the Mattel Retail Wonder Innovation Lab, he is leading the creation of unique and creative new digital retail experiences for one of the world’s largest toy companies.
Leveraging tools and practices from the worlds of machine learning and human-centered design, Ramy ensures that delivered solutions meet end user needs and leverage the incredible potential that analytics and data can provide in the design process.
With a background in computer engineering and design thinking, Ramy has straddled technical, design and business-oriented roles for clients including Apple, New Balance, Rogers and CIBC.