Data, the Digital Twin and AI in the future of automotive
The rise of software-defined vehicles in the automotive industry has opened new ways to access and leverage data gathered by said vehicles. Not only can that data improve the accuracy of a vehicle’s digital twin, but it can also make the digital twin smarter when used to bolster artificial intelligence (AI). The result is a more comprehensive Digital Twin, as well as other applications that enable better data coherence across platforms.
In this episode of The Industry Forward Podcast, Royston Jones, Global Head of Automotive and Transportation for Siemens Digital Industries Software, and Ryan Martin, Senior Research Director at ABI Research explore how vehicle data can lay the ground work for the comprehensive Digital Twin and AI across the automotive industry.
In this episode, you will learn:
- Why the comprehensive digital twin is critical for bringing new vehicles to market
- How data and the digital twin provide the foundation for AI
- Ways AI can make software across platforms more intelligent
- The increasing use of data received in real-time
Royston Jones – Speaker
Royston Jones is the Global Head of Automotive and Transportation for Siemens Digital Industries Software.
Ryan Martin – Speaker
Ryan Martin is a Senior Research Director at ABI Research with a focus on digital transformation.
Kate Eby – Host
Kate Eby is a Senior Manager in Public Relations and Global Communications at Siemens Digital Industries Software.
The Industry Forward Podcast
Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.
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