The author concludes by emphasizing the potential of AI in simplifying vehicle data management and analytics, improving vehicle safety, efficiency, and functionality. They predict that generative AI will eventually create a more holistic and intuitive driving experience where both driver and vehicle can learn from each other. However, they also note the need for increased legislation to address data privacy and security issues.
Key takeaways:
- Artificial Intelligence (AI) is crucial in managing and analyzing the massive amounts of data generated by modern software-defined vehicles (SDVs), which can produce between 1.4 terabytes and 19 terabytes of data an hour.
- AI can be used in fault analysis to identify patterns among vehicles exhibiting faults, saving automakers time and money by narrowing the scope and expediting fault identification.
- AI-driven data analytics can also be used in driver training systems to assess driving behaviors based on a wider range of data points and offer personalized recommendations for improvement.
- AI can help automakers in reductive design by analyzing real-world data such as driving and charging patterns to determine optimal battery size and identify underused features that can be removed to reduce production and vehicle costs.