It is evident that artificial intelligence (AI) holds transformative potential across various domains, a fact often misconceived by many.
Contrary to popular belief, mere automation does not equate to AI. True AI involves software that learns, improves, and autonomously makes decisions. Currently, in the realm of Formula E, the use of AI beyond social media applications remains limited. However, the prospect of its broader integration looms on the horizon.
Central to making AI work effectively is the availability of quality data. Given the wealth of data generated in motorsport, it stands as an ideal candidate for embracing the AI revolution. Beyond enhancing performance, there also exists a vast opportunity to leverage AI systems commercially. Superior solutions across myriad areas, from optimising electric motor coil wiring to streamlining magnetic flow or reducing weight, can result from the development of specific models.
When employed judiciously and complemented by adept software development, AI emerges as a potent tool for enhancing efficiency, reliability and safety. Its implementation facilitates the processing of vast data volumes and expedites simulations, thereby improving the cost-effectiveness of motorsport operations more widely.
The magnitude of data generated during a race weekend surpasses human capacity for comprehension and performance extrapolation. AI, however, can swiftly process car data to devise solutions that might easily elude human cognition and achieve potentially better outcomes.
Failure to embrace AI translates to falling behind the curve. Analogous to not using the internet, abstaining from AI adoption is self-defeating because it deprives people of access to crucial data reservoirs. While its adoption remains voluntary, integrating AI into racing team operations or software development emerges as a logical consequence for optimising performance and problem-solving efficiency.
Source: Autosport