人民财讯1月1日电，据大众日报，2025年12月31日，"齐鲁农云"山东省数字农业农村综合管理服务平台 正式上线运行，构建了"1个数据总仓、1个鲁农码管理平台，以及人工智能、区块链、卫星遥感、物联 网、视联网、GIS地理信息6大基础能力和16个应用场景"的架构，通过综合运用大数据、云计算、人工 智能等数字技术，全面推动农业农村政务服务、产业发展、乡村治理等领域的数字化转型。 ...

运营商财经网讯 12月4日下午，2025数智科技生态大会AI+视联网生态合作论坛，暨中国通信企业协会视联网专委会高 峰论坛，在广州琶洲广交会展馆正式举办。会上，天翼视联董事长胡伟良围绕"能力"这一主题，对视联 网发展的新路径进行分享。 胡伟良从产业趋势、战略落地、核心能力、生态合作四个维度，分享了天翼视联在视联网发展中的思考 与实践。 产业趋势方面，胡伟良认为有以下三个方面。一是国家政策意见的发布实施，明确了"AI+安防"作为重 点融合应用方向，同时推动了产业向前端智能化、边缘计算部署以及平台融合发展。 二在市场维度方面，"AI+安防"处于快速扩张期，市场面临需求迭代，大模型和多模态技术的崛起，让 AI算法发话能力增强。 运营商财经（官方微信公众号yyscjrd）—— 主流财经网站，一家全面覆盖科技、金融、证券、汽车、 房产、食品、医药、日化、酒业及其他各种消费品网站。 面对如何应对这样的时代浪潮，胡伟良表示公司实现"1233战略"，夯实国家级视频基础设施定位。特别 是在两个动力方面，胡伟良强调科技创新和开放合作是核心竞争力，尤其在AI与终端突破重，开放合 作是发展必由之路，二者相辅相成。 接着，胡伟良从以下 ...

Core Insights - The article discusses the transformation of cameras from passive recording devices to intelligent nodes capable of perception, analysis, and decision-making, marking a significant industrial revolution in the video surveillance market [1][25]. - The global video surveillance market is projected to grow at a compound annual growth rate (CAGR) of 16.8%, reaching $100.2 billion by 2029, with AI-driven intelligent video analytics growing at over 30% annually [1]. Technological Evolution - The evolution of camera technology is categorized into six generations, transitioning from passive recording to intelligent systems capable of real-time analysis and decision-making [6][7][8]. - The first generation involved traditional CCTV systems that required manual playback, while the second generation introduced IP cameras for remote monitoring [6]. - The third generation began with basic intelligent detection, leading to the fourth generation's edge intelligence, where cameras could perform complex functions like facial recognition locally [7][8]. - The fifth generation focuses on multi-modal integration, combining various sensor data to enhance cognitive capabilities, while the sixth generation aims for fully autonomous systems with predictive abilities [8]. Architectural Innovation - The shift from isolated systems to interconnected ecosystems is highlighted, with a hybrid edge-cloud architecture reducing latency to under 500 milliseconds while maintaining 99.8% system availability [11]. - Modern systems utilize multi-modal data fusion, integrating visual, auditory, and environmental data to improve accuracy and reduce false alarms by over 80% [12]. - The introduction of microservices architecture enhances flexibility and scalability, allowing independent deployment and upgrades of system components [13]. Value Restructuring - The value of cameras has evolved from mere surveillance tools to essential components driving digital transformation across various sectors, including public safety, manufacturing, retail, and logistics [18][19][20]. - Intelligent visual systems can now predict and prevent incidents, significantly improving public safety management and operational efficiency in industries [18][19]. - Video data is recognized as a valuable digital asset, enabling insights for urban planning, risk assessment, and business strategy [20]. Future Outlook - The integration of smart visual systems with emerging technologies like the metaverse, 6G, and quantum computing is expected to unlock new possibilities for real-time monitoring and decision-making [21][22]. - The development of brain-computer interfaces and general artificial intelligence (AGI) will further enhance human interaction with intelligent visual systems, leading to unprecedented capabilities [23][24]. - The ultimate goal is to establish a digital civilization infrastructure, positioning intelligent visual systems as the neural network connecting the physical and digital worlds [24][25].

Core Viewpoint - The Ministry of Industry and Information Technology has issued the "Computing Power Interconnection Action Plan," aiming to enhance the efficiency and service level of public computing resources, promoting high-quality development in computing power through 16 key tasks across six areas [1][2]. Group 1: Key Tasks and Areas - The action plan outlines six main areas: strengthening the foundation of computing power interconnection, optimizing computing facilities interconnection, promoting resource sharing, innovating business interconnection, creating application scenarios, and ensuring network and data security [2]. - Specific tasks include tackling core technology challenges, establishing standards and norms, and developing interconnection rules [2]. Group 2: Application Scenarios - The plan promotes the application of computing power interconnection in enterprise-level scenarios such as artificial intelligence, scientific computing, intelligent manufacturing, remote medical care, and consumer-level scenarios like intelligent driving, cloud rendering, cloud computing, and cloud gaming [2]. - It encourages the integration of computing power interconnection with energy internet, industrial internet, and mobile internet for innovative applications [2]. Group 3: Implementation Support - To ensure the successful implementation of the action plan, the Ministry will enhance resource investment and create a supportive environment through policies, funding, talent, and resource allocation [2]. - The plan emphasizes the cultivation of enterprises and optimization of the industry ecosystem, supporting backbone computing power enterprises, high-tech companies, and specialized small and medium-sized enterprises [2].

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has issued the "Computing Power Interconnection Action Plan" to promote the application of computing power interconnection in various new business scenarios [1] Group 1: Application Scenarios - The plan emphasizes the application of computing power interconnection in service scenarios such as computing resource services, task scheduling, market transactions, and open-source community operations [1] - It aims to enhance enterprise-level applications in artificial intelligence, scientific computing, intelligent manufacturing, remote medical services, and visual internet [1] - The initiative also targets consumer-level applications including intelligent driving, cloud rendering, cloud computing, and cloud gaming [1] Group 2: Integration with Other Technologies - The plan encourages the integration and innovative application of computing power interconnection with energy internet, industrial internet, and mobile internet [1]

Core Viewpoint - The company reported a revenue of 16.758 billion yuan for 2024, reflecting a year-on-year increase of 5.35%, while the net profit attributable to shareholders was 405 million yuan, down 4.76% year-on-year [1] Group 1: Financial Performance - The company achieved Q4 revenue of 4.872 billion yuan, a slight increase of 0.34% year-on-year, with a net profit of 142 million yuan, up 16.22% year-on-year [1] - The gross margin for Q4 was 38.13%, showing a quarter-on-quarter increase of 6.29 percentage points [1] Group 2: Product and Market Development - The company made significant breakthroughs in network infrastructure products, particularly in the data center sector, enhancing its innovation capabilities [2] - The AI-FlexiForce intelligent computing center network solution was delivered on a large scale and won the "Annual Influential Solution Award" [2] - The company launched innovative products such as the TH5 switch, 51.2T CPO switch, and leading global 400G/800G LPO optical modules [2] Group 3: AI Applications Expansion - In the field of trusted computing, the company developed the "Shenghua" series machines based on Huawei's Kirin 9000C chip, aiding various sectors in achieving intelligent upgrades [2] - The company received telecom equipment access licenses for multiple AI voice core products, enhancing competitiveness in the operator market and industry private networks [3] - The company made strides in smart medical solutions, which were implemented in national regional medical centers across provinces like Shandong, Shanghai, and Beijing [3] Group 4: Market Outlook and Profit Forecast - The company adjusted its net profit forecasts for 2025 and 2026 downwards by 39% and 42% to 510 million yuan and 622 million yuan, respectively, while introducing a new forecast of 728 million yuan for 2027 [3] - The company maintains a "buy" rating, anticipating growth opportunities from AI intelligent computing center networks and increased demand for white-label switches in data centers driven by operator investments [3]