digihuman(BJ:835670) Qi Lu Wan Bao·2026-01-12 09:05Core Viewpoint - The establishment of the Data Analysis Industry Education-Industry Integration Community marks a significant step towards addressing the structural contradictions in the supply and demand of digital talent, aiming to enhance the quality of development in the digital industry [1][4]. Group 1: Community Formation and Objectives - The Data Analysis Industry Education-Industry Integration Community was initiated by Shandong Kaichuang Group, Shandong University of Technology, and Rizhao Vocational College of Science and Technology, along with over a hundred industry units, to promote deep integration of education and industry [1][2]. - The community aims to address the challenges of digital talent cultivation and is seen as a key measure to couple the education chain, talent chain, and industry chain [1][3]. - The community's formation is aligned with national policies such as the "Education Strong Nation Construction Plan (2024-2035)" [1]. Group 2: Institutional Contributions and Resources - Rizhao Vocational College has developed a professional cluster layout that meets regional industrial needs, with teaching equipment valued at over 90 million yuan, and a high-level faculty team [2]. - Shandong University of Technology emphasizes the importance of seamless integration between enterprise needs and educational practices, moving from "bilateral cooperation" to "multi-party collaboration" in talent cultivation [3]. - Kaichuang Group has committed to nurturing high-quality digital talent through collaborative training bases and curriculum development, having already trained thousands of professionals in the digital economy [3]. Group 3: Strategic Importance and Future Directions - The community is seen as a vital platform for addressing industry development challenges and is expected to enhance the quality and efficiency of economic and social development [2][4]. - The establishment of the community is a response to the urgent need for high-quality talent that meets the demands of the digital economy and intelligent era [4][5]. - Future efforts will focus on deepening cooperation, resource sharing, and innovative operational mechanisms to ensure that talent supply aligns with industry needs [6][7].