数据驱动汽车产业变革，2025泰达论坛共话数字化转型新路径

Core Insights - The automotive industry is undergoing a significant transformation driven by data, which is reshaping the ecosystem and enhancing R&D, production, service, and management [3][4][12] - The need for collaboration among government, industry, academia, and research institutions is emphasized to establish data standards and a secure, shareable data ecosystem [3][4] Group 1: Data as a Driving Force - Data is identified as a new engine for the automotive industry, driving comprehensive upgrades across various sectors [3] - The transition from a "product-driven" to a "user-driven" era is highlighted, necessitating a shift in product definition, marketing strategies, and service models [4] - Companies are urged to leverage big data analytics to better understand user behavior and enhance product and service offerings [4] Group 2: Breaking Down Data Silos - The issue of data fragmentation and siloed systems in the bus industry is addressed, with a focus on creating a comprehensive big data system that connects all aspects of operations [6] - A case study from Xiamen King Long Bus Company illustrates how data-driven approaches have reduced order delivery times from 60 days to under 35 days and improved operational efficiency [6] Group 3: Emerging Data Infrastructure - The concept of a "data space" is introduced as a new infrastructure that allows for secure and efficient data sharing across enterprises and industries [7] - The data space is characterized by its ability to maintain data sovereignty while facilitating trusted data flow, particularly in sensitive scenarios [7] Group 4: AI Applications in the Industry - AI is being utilized to enhance efficiency across the battery lifecycle, addressing challenges in research, manufacturing, and recycling [8] - The development of an integrated platform for intelligent product design and real-time monitoring of battery health is highlighted as a significant advancement [8] Group 5: Data Security and Governance - The importance of establishing a collaborative governance framework for data security and compliance is stressed, particularly in the context of smart connected vehicles [11] - A report on data governance in the automotive industry outlines current challenges and offers recommendations for improving data security and cross-border data flow [12] Group 6: Industry Consensus and Future Directions - The forum reached a consensus that data-driven approaches are essential for the digital transformation of the automotive industry [12] - Emphasis is placed on breaking down data barriers and enhancing cross-industry collaboration to maximize data resource utilization while ensuring security and privacy [12]