Core Viewpoint - The forum emphasized the importance of the exhibition industry as a key bridge in the global economic system, facilitating international trade, technology exchange, and cultural dissemination through the integration of emerging technologies like big data and artificial intelligence [1][4]. Group 1: Industry Trends - The global service trade is experiencing a trend towards digitalization, intelligence, and high-end development, with knowledge-intensive service trade growing rapidly and becoming a significant engine for optimizing service trade structure [1][2]. - The exhibition industry serves as an "accelerator" and "display instrument" for service trade, while service trade acts as the "content engine" and "value extension" for the exhibition industry, promoting mutual enhancement and deep integration [2][3]. Group 2: Policy and Strategic Initiatives - To promote deep integration of exhibition and trade, three areas need to be focused on: strengthening exhibition platform functions, advancing digital transformation of exhibitions, and promoting the integration of domestic and foreign trade [2]. - Beijing's strategy is to enhance the exhibition industry's scale and capability through precise policies and city-region collaboration, aligning with the "14th Five-Year Plan" goals [2][3]. Group 3: Future Outlook - The exhibition industry is at a transformative window, shifting from "quantitative expansion" to "qualitative leap," with a focus on high-quality development [3]. - The North Star Group aims to build a "exhibition+" ecosystem, exploring the integration of exhibition, commerce, culture, tourism, and sports to contribute to the high-quality development of China's exhibition economy [3]. Group 4: Technological Impact - The digital economy is redefining the global value chain's structure and operation, with the exhibition industry facing unprecedented technological changes that present new growth opportunities [4]. - AI technology is crucial for the digital transformation of the exhibition industry, enhancing data insight capabilities and improving customer experience and commercial value [5].