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Explore how data-driven approaches can revolutionize talent identification in motorsports and potentially pave the way for the first female Formula 1 champion in this 26-minute conference talk. Discover an innovative global initiative that combines technology expertise, motorsport knowledge, academic research, and non-profit leadership to create objective, gender-neutral talent evaluation systems. Learn about the comprehensive data model that tracks driver progression from karting through Formula 4, 3, and 2, ultimately leading to Formula 1, while applying AI techniques to recognize talent, monitor performance, and generate meaningful insights over time. Gain insider perspective on the project's development challenges, methodologies, and key decisions from someone directly involved since its inception. Understand how strategic reallocation of motorsports' multi-billion dollar resources could drive meaningful change in the industry's gender representation. Examine the technical implementation of objective performance tracking systems and explore the future potential of data-driven strategies to transform talent evaluation in traditionally male-dominated motorsports, presented by Liselott Lading, Director of Business Consultancy at Avenga and experienced business leader in digital transformation and AI strategy.
Syllabus
Can data find the first female Formula 1 champion?
Taught by
ISTA Conference