Core Insights - The transition to digital intelligence in education has moved from "proof of concept" to "scaled implementation," emphasizing the deep integration of data, IoT, and AI rather than simple technology stacking [1][2] - The construction of smart campuses faces challenges such as weak infrastructure, limited AI application maturity, and a shortage of skilled personnel [1][2] Group 1: Smart Campus Construction - The company advocates for a collaborative approach involving "data + IoT + light AI" to ensure effective data governance and integration, allowing AI capabilities to be embedded in specific business scenarios [2] - The company has implemented practical AI applications in smart campus construction, focusing on small, precise, and easily deployable AI capabilities [2] Group 2: AI Applications and Innovations - The company has developed several model cases, such as using IoT devices to collect data across the entire food supply chain in cafeterias, integrating light AI applications for multiple functionalities including nutritional analysis and safety monitoring [2] - AI is positioned as a precise companion for student growth, providing personalized learning resources and activity suggestions based on student data profiles [2] Group 3: Future Directions - The company emphasizes the importance of solidifying IoT foundations and addressing data shortcomings while advancing digital intelligence construction with a systematic approach [3] - The company plans to continue deepening the integration of technology and business in campus scenarios, aiming to create a new ecosystem for high-quality educational development empowered by AI [3]