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 Connect with Royston: LinkedIn Connect with Ryan: LinkedIn Connect with Kate: LinkedIn