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Automakers have cut back on software initiatives. They have embraced open-source development. They have refocused on platforms across brands and models, rather than on incremental changes to stacks powering different software domains.

L'industrie automobile vit une transformation profonde, poussée par des réglementations de plus en plus strictes et une pression croissante pour améliorer la sécurité.

In the fast-paced and rapidly transforming landscape of commercial mobility, one thing is increasingly clear: the future of commercial vehicles will likely be software-defined.

Vehicle data is critical for original equipment manufacturers (OEMs) to drive continuous product innovation and performance improvements and to support new value-added services. Similarly, the increasing digitalization of vehicle architectures and adoption of software-configurable functions allow OEMs to add new features and capabilities efficiently.

Sonatus, in partnership with the AWS Generative AI Innovation Center, now leverages Amazon Bedrock to hasten and refine the AI-driven vehicle policy creation process for SDVs. The new system uses a chain of LLMs to translate natural language into structured data for Collector AI and Automator AI, simplifying signal selection and automation policy design.

The most promising AI applications in vehicles may soon no longer be flashy dashboards but instead innovations deep inside automotive architecture.

As the automotive industry pushes toward software-defined vehicles, automakers and suppliers are shifting their relationships and working dynamics.

L'industrie automobile mise sur l'intelligence artificielle (IA), les mises à jour Over-the-Air (OTA) et la transition logicielle mais des obstacles persistent.

Artificial Intelligence is changing every facet of the auto industry. Vehicle repair is no different, and companies are vying for dealership business.

Research finds nearly two-thirds of global automakers believe artificial intelligence use cases – such as predictive maintenance, over-the-air optimisation and personalisation – will drive software-defined vehicle adoption.

Steve Stoddard, Product Manager at Sonatus, explains how AI can transform vehicle maintenance by enabling smarter, model-specific diagnostics. Through tools like AI Technician Builder and Collector AI, Sonatus combines machine learning, real-time data, and large language models to identify issues proactively. This approach improves efficiency for repair shops, enhances service for drivers, and helps OEMs reduce costs and vehicle downtime.

Soon it’s very likely that fleets of specialized AI agents will influence jobs worldwide, including your car mechanic. The growing role of AI in the automotive industry is immense, but not surprising considering the amount of data that is collected while you are driving.