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As part of the SDV journey, automakers have spent the past decade striving to harness connected vehicle data to improve cost structures and customer satisfaction. However, dealership data, claims, and ROs are insufficient to support actionable quality insights.

The focus is now shifting toward contextualizing dealership insights with telematics and vehicle signals to detect defects and component failures earlier and to drive effective RCA at scale. The critical enabler: AI.

Join us for an executive discussion on how AI is transforming after-sales and field quality processes. Whether you’re launching your first AI initiative or developing an existing strategy, this session will share real-world lessons, common pitfalls to avoid, and what’s ahead, all with one goal in mind: to reduce long-term warranty and recall costs and elevate customer satisfaction.

Key topics and takeaways:

  • Challenges and opportunities in next-gen SDV architectures for advanced AI
  • Contextualizing dealership data with live telematics feeds to support DTC analytics and effective RCA
  • Building long-term strategies for incorporating AI across field investigation and establishing a robust feedback loop across the entire vehicle lifecycle

Meet the experts

Gary Silberg

Automotive Executive - Former Global Head of Automotive, KPMG

Augustin Friedel

Senior Manager of Software Defined Vehicles, MHP – A Porsche company

Arnon Shafir

VP Business Development, Upstream