Step Forward to AI: Cognitive and Behavioral Aspects of Smart Driving
Driving is a personal experience and everyone has specific ways of driving. Driving behavior differs from person to person. From how they hit the gas and brake pedals, to the way they turn the wheel, and how much distance they keep when following another vehicle. Identifying the driving pattern of a particular driver and segmenting driving behaviors are important for GM in order to reach our goal of “Three Zeros”: Zero Collision, Zero Emission and Zero Congestion.
I will present a model that how we use vehicle safety features and radio listening behavior to predict driver segments within GM's strategic standpoints.
Experienced leader, Data Scientist and strategist with a unique combination of analytical and leadership expertise of 10 years in industry, and 10 years in academia. Managed large multinational and multidisciplinary projects. Designed complex machine learning models involving neural network implementations, natural language processing (NLP) and computer vision, as well as predictive models. During academia I realized the gap between scientific projects and technology transfer. I co-founded a technology spin-up / big data analytics platform and was involved in several other start-ups in the big data and IoT domains.