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彩讯股份杨安培:当前AI发展面临的最大挑战是应用不够深入普及
2 1 Shi Ji Jing Ji Bao Dao· 2025-12-06 11:32
Core Insights - The forum focused on sustainable industrial paths in the AI era, highlighting the enthusiasm of companies to embrace AI while facing systemic challenges in implementation [2][3] Group 1: Challenges in AI Implementation - Companies lack systematic AI strategic planning, leading to a disconnect between technology applications and core business value [3] - Data governance and service governance present dual challenges, with companies struggling to define data governance processes and integrate AI models with existing IT systems [3][4] - There are three major misconceptions among clients regarding AI applications, including the differences between B2C and B2B scenarios, traditional IT perspectives on AI, and an overestimation of AI capabilities [4] Group 2: Talent and Framework - There is a significant talent gap in the industry, with a need for professionals who understand both AI technology and industry-specific knowledge [4] - The company has developed a "1+1+N" AI delivery system, which includes a comprehensive framework for planning, governance, and security, along with tools and industry-specific solutions [5] Group 3: Market Perspective - The company asserts that there is no AI bubble, emphasizing that the main challenge lies in the insufficient depth and richness of AI applications across sectors [6] - The trend of AI reshaping various industries is clear, with the company focusing on replicable scenarios in customer service, marketing, business intelligence, and office applications [7]