企业应用AI成熟度
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AI下半场哨声吹响:数据质量成胜负手——业界首个企业应用AI成熟度模型重磅发布
2 1 Shi Ji Jing Ji Bao Dao· 2025-09-12 13:00
Core Insights - The article emphasizes the transition in AI competition from model parameters to data quality, highlighting the importance of unique data assets and industry knowledge for businesses [2][3][10] Group 1: AI Adoption Maturity Model (AIM) - The AIM model was jointly developed by Shanghai Jiao Tong University and several industry leaders to provide a navigation system for enterprises in AI application [1][6] - AIM consists of six interconnected dimensions: strategy, organization, data, technology, application, and commercial value, covering the entire process from design to value realization [6][9] - The model aims to help businesses assess their current AI maturity level and guide them on future steps in the unique Chinese market environment [6][9] Group 2: Industry-Specific Insights - In the financial sector, companies have strong data foundations but need to enhance commercial value; the focus is shifting from auxiliary decision-making to autonomous financial intelligence [6][7] - The automotive industry is transitioning from product intelligence to a dual focus on product and enterprise intelligence, emphasizing ROI-driven AI development [6][7] - The health sector is moving towards personalized health services, leveraging AI to connect various resources and improve service efficiency [7] - The retail industry is evolving from workflow improvement to consumer-centric experiences, with companies like L'Oréal integrating AI throughout the consumer journey [5][7] Group 3: Actionable Guidelines - AIM provides a five-level framework for enterprises to progress from initial AI exploration to becoming AI-native organizations, emphasizing the importance of integrating AI into the core business [9][10] - The model breaks down the complex AI implementation process into manageable stages, helping companies identify weaknesses and plan development paths effectively [9][10] - The future of AI competition will hinge on systemic capabilities, necessitating deep integration of AI into the core value chain for sustainable competitive advantage [10]