This presentation will explore the role of digital twins in optimizing automotive testing, focusing on data integration, real-time analytics and predictive modeling. It will highlight key technological advances, challenges in implementation and case studies demonstrating efficiency gains in automotive production and testing.

• Role of digital twins in automotive testing
• Enhancing real-time data integration for predictive maintenance
• Improving simulation accuracy using AI-driven analytics
• Reducing testing costs and time through automation
• Future trends in autonomous vehicle validation