Autonomous automobiles on the horizon: necessary actions for car manufacturers to maintain competitive edge

In the world of automotive technology, a new era is upon us - the AI-defined vehicle. Dipti Vachani, Senior Vice President and General Manager of Arm's Automotive Line of Business, discusses the transformative implications of this shift.

AI-defined vehicles are revolutionizing the driving and passenger experience by learning from their environments and personalizing their operations. The intelligence embedded within these vehicles is not confined to specific domains or applications; instead, it permeates real-time decision-making loops across every aspect of the vehicle's operation.

Dipti Vachani, a prominent figure in the tech industry, leads the organization responsible for delivering Arm-based solutions for automotive. With a BS in Computer Engineering, an Executive MBA degree, and executive education from prestigious institutions such as Stanford, Harvard, and Cambridge business schools, Dipti brings a wealth of knowledge and experience to her role.

Prior to her current position, Dipti held various leadership roles at Intel and Texas Instruments. She is also a member of the Women's Leadership Council for the Global Semiconductor Association.

For Original Equipment Manufacturers (OEMs), the shift to AI-defined vehicles necessitates a new kind of compute foundation and collaborative model. Scalable architecture across the hardware allows OEMs to reuse software stacks and development pipelines across trim levels and model variants.

Heterogeneous compute is crucial for AI-defined vehicles to respond in real-time without compromising battery life. The availability of silicon-free prototyping accelerates the development and deployment of AI-defined vehicles. End-to-end software stacks integrate model training to deployment, improving decision-making speed and accuracy.

The AI-defined vehicle era requires cohesive software stacks for AI development from cloud to car. Virtual prototyping enables early development, keeping pace with the exponential growth in AI capabilities and evolving models. This approach allows OEMs to stay ahead of the curve in the rapidly evolving world of AI-defined vehicles.

According to research from PYMNTS, 75% of global automakers plan to integrate generative AI into vehicles by the end of 2025. Several automotive manufacturers are already planning to integrate generative artificial intelligence into vehicles by 2025, focusing on software-defined vehicle platforms enhanced by AI, including Edge Intelligence and cloud-based services for personalized user experience and autonomous assistance. Notable partnerships include NTT DATA with Desay SV, aiming to embed AI comprehensively across the vehicle software stack before 2025 ends.

The transition to AI-defined vehicles is not theoretical but happening now. These vehicles use models trained on massive datasets of real-world driving behavior to make decisions in real-time, improving safety and efficiency. The AI-defined vehicle era surpasses electrification and connectivity as the next wave of automotive transformation.

As we move forward, the role of AI in vehicles will only continue to grow, transforming the way we travel and interact with our vehicles. With leaders like Dipti Vachani at the forefront, the future of AI-defined vehicles looks promising and exciting.

Autonomous automobiles on the horizon: necessary actions for car manufacturers to maintain competitive edge