Episode 82 - Case Study: Tesla

In Episode 82 of "100 Days of Data," Jonas and Amy explore Tesla’s groundbreaking use of AI to transform autonomous driving and mobility. They delve into Tesla's data-driven approach, emphasizing vision-based AI over costly LiDAR systems, and how vast amounts of real-world driving data power continuous learning. The episode highlights Tesla’s innovative feedback loops, combining supervised and reinforcement learning to improve decision-making and handle rare edge cases through fleet-wide data sharing. Beyond technology, Jonas and Amy discuss regulatory challenges, safety concerns, and the strategic role of scalable software updates in evolving Tesla vehicles like smartphones. This case study showcases how AI theory, data strategy, and engineering intersect to drive innovation—offering valuable lessons for businesses aiming to turn data into competitive advantage in complex, real-world applications.