Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The emergence of high-performance open-source large models has significantly lowered the barriers and costs for AI application innovation, driving the development of intelligent computing applications across various sectors such as finance, government, education, healthcare, and industry [7][14] - The report emphasizes the differentiated network connection requirements arising from the rapid growth of intelligent computing applications, highlighting the need for high bandwidth, low latency, and high reliability to support AI model training and inference [7][15] - The report proposes five key features for high-quality computing dedicated lines tailored for intelligent computing applications: intelligent perception, business certainty experience, elastic network on demand, intelligent operation and maintenance, and optical computing collaboration [7][15] Summary by Sections Overview - The proliferation of open-source large models since 2023 has disrupted the previous monopoly in the field, enabling rapid innovation in intelligent computing applications across various industries [14] - The report identifies the need for networks to perceive business types and provide differentiated connection capabilities to ensure optimal service experiences [14] Differentiated Dedicated Line Service Requirements for Intelligent Computing Applications Financial Intelligent Computing Applications - Financial institutions are leveraging AI for customer service, risk management, and operational efficiency, requiring high bandwidth and low latency for various applications [17][22] - Specific network requirements include: - AI service assistants: 5 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] - Digital lobby managers: 200 Mbps bandwidth, latency < 2.5 ms, availability ≥ 99.99% [27] - AI financial compliance checks: 150 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] - AI fraud detection systems: 5 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [27] Government Intelligent Computing Applications - The report discusses the transition from basic digitalization to comprehensive intelligent governance, emphasizing the need for flexible network services to handle varying demands [29][33] - Network requirements include: - Intelligent government customer service: < 5 Mbps bandwidth, latency < 500 ms, availability ≥ 99.99% [38] - Intelligent traffic management: < 200 Mbps bandwidth, latency < 20 ms, availability ≥ 99.99% [38] - Intelligent environmental monitoring: 200 Kbps to 20 Mbps bandwidth, latency < 500 ms, availability ≥ 99.99% [38] Educational Intelligent Computing Applications - The report highlights the transformation in education through intelligent computing, with applications in personalized learning and automated assessment [39][43] - Network requirements include: - Smart classrooms: 100-500 Mbps bandwidth, latency < 25 ms, availability ≥ 99.99% [45] - Intelligent monitoring systems: ~4 Gbps bandwidth, latency < 5 ms, availability ≥ 99.99% [45] Healthcare Intelligent Computing Applications - The healthcare sector is increasingly adopting intelligent computing to enhance diagnostic accuracy and operational efficiency [46][49] - Network requirements include: - AI-assisted imaging: 10 Gbps bandwidth, latency < 10 ms, availability ≥ 99.9% [52] - AI-assisted diagnosis: 500 Mbps to 1 Gbps bandwidth, latency < 5 ms, availability ≥ 99.9% [52] Public Security Intelligent Computing Applications - AI is being integrated into public security to enhance risk identification and response capabilities [54][58] - Network requirements include: - AI video monitoring: 200 Mbps bandwidth, latency < 5 ms, availability ≥ 99.99% [60] - AI policing services: 20 Mbps bandwidth, latency < 50 ms, availability ≥ 99.99% [60] Entertainment Intelligent Computing Applications - The report discusses the digital transformation of the entertainment industry, particularly in cloud gaming and media production [66][67] - Network requirements include: - Cloud gaming: 120 Mbps bandwidth per user, latency < 1 ms [66] - 3D scene reconstruction: 1 Gbps bandwidth, latency < 1 ms [67]

站在世界舞台：全美在线(ATA)以创新推动全球考试测评技术发展。 全美在线(ATA)作为全球考试行业的领军者，凭借其在国际考试测评领域的深厚影响力，成为AI时代全 球考试测评服务升级的重要参与者。作为ATP(国际考试业协会)的核心成员、长期的白金赞助商，以及 中国乃至亚洲具有影响力的第三方考试测评服务机构，长期以各种方式积极参与着ATP的各项会议活 动。全美在线(ATA)凭借安全稳定可靠的线上及线下考试系统、大规模考试运营实施能力及遍布中国乃 至全球的考点渠道资源、以及创新性将AI技术与考试相结合，成为全球考试行业"中国方案"的代表，自 成立以来已持续26年以技术创新与行业实践推动全球考试测评发展。 2011年全美在线(ATA)发起成立了A-ATP(国际考试业协会亚洲分会)，是其首届理事长单位。A-ATP(国 际考试业协会亚洲分会)建立是为了迎合亚洲当地考试出版商和运营商团体的需要和利益，标志着亚太 地区考试行业迈入新阶段。A-ATP的成立不仅促进了亚太地区考试技术的创新与升级，还加强了区域内 考试产业的协同合作，为亚洲考试出版商及运营商团体提供坚实的考试技术及营运服务保障。 近日，全球考试测评行业最具影响力 ...