Generative artificial intelligence will promote the process of automotive softwareization

The next big challenge facing automakers is softwareization: using software solutions rather than hardware to solve problems. And it comes quickly. This requires manufacturers to fundamentally change the way they think about themselves. It may be difficult for these hardware-centric companies to imagine being a computer or artificial intelligence company. But as the auto industry gets closer to building smart devices on wheels, they have to. Globally, automakers have invested billions in artificial intelligence and expect this The numbers will continue to grow. Currently, artificial intelligence is mainly used in product design and planning, warranty management, and building long-term customer relationships. Next, generative AI will be the next frontier, used to create code, digital content, simulations, and more. As the automotive industry moves towards smart devices, manufacturers must adopt tools to quickly develop, deploy and maintain software, and this is the power of generative artificial intelligence

Why manufacturers must embrace generative Type Artificial Intelligence

Traditional manufacturers are facing competitive pressure from both Tesla and China. Tesla is a software company dedicated to car manufacturing. They use artificial intelligence to innovate rapidly at fleet scale. Recently, they introduced an advanced generative modeling technique that can predict possible outcomes from past observations. This is the great potential of generative AI: liberating the constraints of innovation and making it easier to turn ideas into software features

As for China, they are keenly aware of the role of generative AI in promoting softwareization The potential for great efficiency. They have the technical foundation and engineering talent to turn this potential into reality. Vehicle affordability will always be important, and softwareization will be key to delivering value at the time of purchase and increasing residual value as the vehicle ages.

What can automakers do to catch up?

Automakers will need to produce and deliver vehicles with greater computing power. This will allow them to run a software sandbox on each vehicle, using it to analyze the performance of the software based on baseline usage. It will be able to test new features on a limited number of vehicles in the real world.

Manufacturers can increase their ability to experiment with new ideas while collecting valuable data on how new software features work in real vehicles with real drivers. This means new features can be transitioned faster and with less risk of failure

By leveraging a more powerful computing environment and generative artificial intelligence, vehicles can analyze driving behavior and provide personalities for different drivers A personalized and optimized driving experience

Summary

As the automotive industry heads toward the future, software and connectivity are redefining the next generation of driving experiences. This shift challenges traditional manufacturers whose hardware-centric cultures are at odds with the demands of a software-centric world. Today, most automakers’ software engineering departments are chronically oversubscribed and under-resourced. It's a challenge, but it's also an opportunity for forward-thinking automakers.

The era of generative artificial intelligence has arrived in the automotive field

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