Core Viewpoint - The forum focused on how artificial intelligence (AI) can empower the digital transformation of education and explore innovative development paths for "AI + Education" [1] Group 1: AI and Education Transformation - AI is reshaping the educational ecosystem, with digitalization being a key engine for high-quality educational development [3] - The Ministry of Education and nine other departments have issued opinions to accelerate educational digitalization, guiding collaborative innovation between schools and enterprises [3] - ZTE Corporation has planned three main paths: establishing an AI + Education special fund, creating a digital resource pool for education, and deepening industry-education integration [3] Group 2: Innovation and Competitions - The 2025 Second Education Information Technology Application Innovation Competition is set to begin, with ZTE hosting the AI-focused "Target Intelligent Detection Technology Application Practice Competition" [5] - This competition aims to address technical challenges in target detection, combining academic research with practical needs to accelerate technology application [5] Group 3: Industry Collaboration and Solutions - Representatives from leading companies discussed AI education, digitalization, and industry-education integration, launching the "Zhihai AI Education Integrated Machine" for smart teaching solutions [6] - ZTE officially launched the ZTE AI Certification, emphasizing its role as a builder of digital economy and its commitment to educational digitalization [6] - ZTE's "three-in-one" solution focuses on technology foundation, industry-education integration, and ecological co-construction [6] Group 4: Future Directions and Goals - ZTE is actively collaborating with the Ministry of Education on various initiatives, including talent cultivation and international professional standards [7] - The successful forum marks a significant step in promoting the integration of education and technology, contributing to the "Digital China Strategy" [7] - ZTE aims to accelerate the implementation of industry-specific large models and enhance AI talent development to achieve educational reform goals [7]

Core Viewpoint - ZTE Corporation is strategically positioning itself to leverage opportunities in the AI sector, aiming to drive revenue growth through advancements in AI technology and infrastructure [2][3][4]. Group 1: AI Strategy and Market Opportunities - The global AI market is projected to exceed $860 billion in the next five years, with a compound annual growth rate (CAGR) of 32.19% [2]. - Major domestic telecom operators are expected to maintain over 20% growth in computing power investments by 2025, while leading internet companies will invest over 500 billion in AI over the next three years [2]. - ZTE aims to capitalize on AI advancements across four dimensions: communication infrastructure, computing power infrastructure, industry applications, and AI endpoint solutions [3][4]. Group 2: AI Product Development - ZTE is increasing investment in AI mobile phone development and brand channel resources, aiming to penetrate various personal and household scenarios [3][4]. - The company plans to enhance its AI product offerings, including AI smartphones and smart home devices, to create a comprehensive AI ecosystem for consumers [6][7]. Group 3: Infrastructure and Technological Innovation - ZTE's long-term strategy focuses on "connection + computing power," leveraging nearly 40 years of experience in the DICT field to provide comprehensive AI solutions [4][8]. - The company is enhancing its computing power infrastructure by optimizing hardware architecture and developing high-performance, low-power products through collaboration with industry partners [8]. Group 4: Challenges and Strategic Responses - In 2024, ZTE faces a challenge with domestic telecom operators' 5G investments declining by over 20%, leading to a 13% decrease in domestic operator market revenue [9][10]. - The company is exploring new business models and technological iterations to mitigate the impact of reduced capital expenditure from domestic operators [10].