AI in R&D for EV Manufacturing πβοΈ
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This conference case explores the integration of AI in electric vehicle (EV) R&D, covering industry benchmarks, financial impacts, and prioritized high-impact use cases like patent analytics and BOM optimization. It details the MECE framework for implementation, quantifies cost savings (β¬35M in prototype, β¬180M in BOM), and outlines strategic advantages with a 1.3-month payback period. Risks like data silos and regulatory barriers are addressed, emphasizing explainable AI and effective...