Quality at Scale: How Automotive Leaders are Applying AI to Transform Manufacturing Operations
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This session is exclusively for VIP attendees by invitation only. For more information, contact Tom.Hamblin@Informa.com.
As automotive manufacturing becomes increasingly complex with electrification, evolving vehicle architectures, and rising production variability, maintaining consistent quality and operational performance at scale has become a critical challenge for OEMs and suppliers.
Many organizations are exploring how AI and data-driven approaches can enhance quality, improve decision-making, and drive more efficient operations. However, the path to adoption—and the outcomes—vary widely across the industry.
This roundtable brings together manufacturing, quality, and operations leaders to discuss:
How are organizations using AI and data-driven approaches to improve quality and defect detection?
What challenges do manufacturers face when introducing AI into production and operational environments?
Where are leaders seeing measurable impact in reducing scrap, rework, and unplanned downtime?
How can AI-driven insights be effectively integrated into existing workflows and processes?
