2025AI生态共建论坛圆桌对话：以数据驱动产业 以安全筑牢根基

Core Insights - The 2025 AI Ecosystem Co-construction Forum was held in Boao, Hainan, focusing on the application of AI in vertical industries and the release of the "Ruidi Digital Economy Innovation Development Big Data Platform" [1] Group 1: AI Development Challenges - AI is transitioning from a general phase to vertical industry applications, facing challenges such as data governance, computing costs, security, and talent shortages [3] - Traditional enterprises, especially small and medium-sized manufacturers, encounter significant challenges in AI transformation due to high costs associated with developing vertical large models [3][4] - Ensuring data authenticity and clarity of ownership is crucial for AI deployment, as unreliable data can lead to misleading outcomes [4] Group 2: Data Quality and Governance - High-quality data is essential for the deep development of AI, with the need for a credible source mechanism to reduce subsequent data governance costs [4] - The development of a "digital ID" for data through innovative anti-counterfeiting technology can enhance data credibility from the moment of generation [4] Group 3: Business Integration and Talent Development - AI must be integrated into business scenarios to understand industry logic, with a focus on delivering practical results [4] - There is a scarcity of interdisciplinary talent with both technical expertise and industry insights, necessitating collaboration between universities and industries to cultivate future talent [5] - The establishment of rigorous data collection and verification processes is vital for maintaining information accuracy and user trust [6] Group 4: Collaborative Efforts - The forum emphasized the importance of collaboration among academia, industry, and research to address key bottlenecks and promote the practical application of AI [6]