Core Insights - The "Data Elements ×" competition in Guangdong focuses on the integration of data elements with the cultural tourism industry, showcasing innovative applications and solutions [1][2] - The event highlights the importance of data-driven innovation in enhancing the value of cultural tourism resources and addressing industry challenges such as homogenization [4][6] Group 1: Competition Overview - The Guangdong division of the competition features 15 teams competing in the cultural tourism track, which includes eight key topics such as digitalization of cultural resources and smart tourism innovation [2][3] - The competition adopts a public roadshow format, allowing teams to present their projects in an "8+6" format, emphasizing the potential of data elements in enhancing visitor experiences and creating new business models [2][3] Group 2: Regional Development and Innovation - Jiangmen, as a key city in the Guangdong-Hong Kong-Macao Greater Bay Area, leverages its rich cultural heritage and tourism resources to explore new paths for data-driven cultural tourism development [6][7] - The city has established various data infrastructure initiatives, including a data trading service base and a supercomputing center, to support the circulation and application of cultural tourism data elements [6][7] Group 3: Project Highlights - Notable projects include the "Digital Cultural Creative Value Chain" platform, which addresses challenges in cultural product development and enhances the efficiency of cultural resource dissemination [3][4] - The "Digital Diaolou" IP project utilizes 3D data models of cultural heritage sites to create digital products, exploring new models for public data authorization and operation [7] Group 4: Future Prospects - The competition aims to foster a virtuous cycle of data utilization and economic growth in Jiangmen, attracting technology, talent, and capital to enhance the value of cultural tourism data [7] - Future plans include deepening the integration of data elements across various sectors, including cultural tourism, advanced manufacturing, and public services, to build a more comprehensive data industry ecosystem [7]