Group 1 - The companies are exploring collaboration opportunities in areas such as digital transformation, AI empowerment, smart manufacturing, and smart factory applications [2][4] - Key participants in the discussions include leaders from Guojin Digital Technology, Guojin Internet, and various departments of Guojin Automotive, including subsidiaries like China Automotive Engineering and China Jin Leasing [2][4]

Core Insights - The conference focused on the integration of AI technology in the training of digital engineering talents, emphasizing the importance of collaboration between industry and education [1][21] - The Software and Information Services (Digital Technology) Industry Education-Industry Integration Community has made significant progress since its establishment in October 2023, including training thousands of teachers and organizing over 30 educational forums [3][21] Group 1: Community Achievements - The community has successfully trained thousands of dual-qualified teachers and organized over 30 events covering more than a thousand institutions [3] - It has published industry development reports and talent demand forecasts to promote deep integration between education and industry [3] - Future initiatives will focus on connecting the talent chain, industry chain, and innovation chain to enhance talent cultivation in the digital technology sector [3] Group 2: Educational Reform and AI Integration - The community emphasizes the need for educational reforms that align with regional economic development, utilizing AI to reconstruct curricula and teaching models [5] - The introduction of AI micro-specialties in higher education aims to bridge disciplinary boundaries and cultivate innovative talents [10] - The integration of AI in manufacturing is seen as a key strategic technology, with calls for collaboration between academia and industry to develop large models in specific fields [8] Group 3: Practical Applications and Case Studies - The conference featured various case studies on AI applications in education, including the restructuring of AI general courses to enhance practical skills [14][15] - Institutions are encouraged to build AI professional groups that focus on the entire chain from data labeling to model training and deployment [17] - Innovative practices in industry-education integration were shared, highlighting the importance of research-driven collaboration to solve real-world problems [19] Group 4: Future Directions - The community aims to continue fostering collaboration among government, industry, and educational institutions to drive the innovative application of AI in education and industry [21] - New strategies will be developed to enhance the adaptability of educational institutions to industry and regional development needs, contributing to a high-quality education system [21]

Group 1 - The core viewpoint emphasizes the need for high-quality application-oriented business talents who are specialized, knowledgeable in AI, and capable of practical application to support regional economic and social development [1][3] - The academic forum discussed innovative paths for business education in the AI era, highlighting the importance of cultivating talents with innovative thinking, cross-disciplinary abilities, and international perspectives [1][3] - The shift in education towards digitalization is seen as an inevitable trend, focusing on developing core competencies that AI cannot replace, such as critical thinking and complex problem-solving skills [3][4] Group 2 - There is a call for universities to enhance talent cultivation in areas like "new retail operations" and "consumer data analysis" to meet the transformation needs of the consumption industry [3] - Recommendations include introducing international courses and conducting joint training with enterprises to improve students' adaptability and service innovation capabilities in complex market environments [3][4] - Shanghai University of Finance and Economics is establishing new majors like "Financial Technology" and "Big Data Management" and developing interdisciplinary courses to create a comprehensive talent cultivation system [4]