Dr. Wang highlighted that the Chinese automotive market has successfully transitioned toward large-scale AI deployment by leveraging diverse traffic data and a consumer base eager for digital innovation. This approach shifts the burden of development from human-coded logic to AI-generated systems, utilizing digital twin simulations to handle the rapid iteration required for modern software-defined vehicles. Neusoft’s own internal practices, specifically the use of AI digital employees in testing, demonstrate how this shift improves quality and production efficiency.
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Neusoft Advocates Scenario-Defined AI Strategy for Automotive Industry
At the ELIV 2026 congress in Baden-Baden, Neusoft Corporation’s Dr. Angela Wang argued that the automotive industry must pivot from technology-led development to a scenario-defined model. By prioritizing real-world use cases over raw technical specifications, manufacturers can accelerate AI integration and transform vehicles into responsive, intelligent spaces.
Beyond consumer-facing features like the OneCoreGo 7.0 navigation system, the strategy addresses the logistical complexity of managing hundreds of vehicle scenarios. Neusoft suggests that global OEMs can benefit from this roadmap by fostering cross-regional collaboration. As the industry evolves, the companies best positioned to lead will be those capable of orchestrating diverse global ecosystems to support these increasingly complex, AI-driven mobile environments.
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