聚焦产业强区建设，玄武区将全力推进人工智能发展壮大、服务业转型升级和人文经济提质增效。 今年，全区将加快实施"人工智能+"行动，创新打造"AI+文旅""AI+医疗""AI+教育"等垂直领域标杆场景， 发布行业大模型超100个，推动构建"1+3+N"全域数智生态。 此外，围绕城市功能品质提升，玄武区将深入开展"一路四环"城市更新，统筹推进高水平建设、高 效能治理与高标准保护，着力打造更富活力、更有品质的中心城区。 新征程号角嘹亮，新发展步履铿锵。当前，我市各区紧锣密鼓召开两会，总结过去一年成绩，谋划 新一年发展蓝图。站在新的起点上，各区立足自身定位，聚焦经济社会发展关键议题，共商高质量发展 务实之策，为推动区域现代化建设、谱写中国式现代化南京实践新篇章注入强劲的区域动力。 瞄准产业赛道，城区发展路线清晰 1月8日，玄武区第十九届人民代表大会第五次会议召开，全面总结"十四五"以来全区转型发展成 就，并就新一年高质量发展谋篇布局。面向"十五五"，玄武区锚定建设国际化活力中心城区目标。今 年，全区将重点围绕扩大有效需求、打造产业强区、激活内生动力、提升功能品质、增进民生福祉五大 方面集中发力，确保"十五五"发展开好局 ...

证券日报网讯1月6日，科大讯飞（002230）在互动平台回答投资者提问时表示，科大讯飞多年来一以贯 之的脚踏实地推进人工智能技术与产业进步，未来会继续保持"1+N"的战略投入定力即"1个底座大模型 +N个行业大模型"的整体布局，底座大模型持续对标国内外最高水平，同时围绕赋能教育、医疗等关键 领域构建N个重点行业大模型，积极追求用最先进和安全的人工智能赋能国计民生和国家战略领域。 ...

Core Viewpoint - The establishment of Silicon-based Life Artificial Intelligence Technology (Guangdong) Co., Ltd. in the Dongguan-Jieyang Innovation Park marks a significant breakthrough in attracting investment, contributing to the intelligent upgrade of industries and the construction of an AI ecosystem in the eastern Guangdong region [1][5]. Group 1: Company Overview - Silicon-based Life Artificial Intelligence Technology (Guangdong) Co., Ltd. is a wholly-owned subsidiary of Sichuan Silicon-based Life Artificial Intelligence Technology Co., Ltd., focusing on cutting-edge fields such as artificial intelligence, bionic science, brain-machine interaction, and silicon-based life forms [3]. - The company has a registered capital of 130 million yuan (approximately 19 million USD) and aims to build a collaborative evolution ecosystem of "silicon-based life + intelligent machinery" [1][3]. Group 2: Technological Focus - The subsidiary will focus on developing intelligent interactive systems and industry large models, with core technologies including AI algorithm optimization, real-time rendering of digital humans, and multimodal interaction solutions [5]. - The intelligent interaction technology has already achieved recognition of 46 dialects, showcasing its potential in industrial voice control and intelligent customer service [5]. Group 3: Regional Impact and Collaboration - The project represents a significant practice of the "R&D in Dongguan, production in Jieyang" industrial collaboration mechanism, indicating deeper and broader industrial synergy between the two regions [7]. - Jieyang has been optimizing its business environment and increasing efforts in industrial investment attraction, with the successful introduction of this billion-level AI enterprise reflecting its commitment to high-quality economic development [7]. - The park will continue to enhance service efficiency and promote the deep integration of industrial and innovation chains, aiming to attract more tech enterprises and talent teams to develop in Jieyang and the eastern Guangdong region [7].

数字基础设施持续夯实，为转型提供坚实支撑。全市累计开通5G基站11454个，重点场所5G通达率、家庭千兆光纤覆盖能力均达100%，31家企业启动5G 工厂建设，73个案例入选省级5G规模应用典型案例，数量全省第2。数据中心达15家，智能算力占比44.2%，14个专业化数字化园区加速集聚，数字产业 集聚度居全省第5。同时，新一代信息技术产业快速成长，今年1-10月实现收入258.27亿元，同比增长24.48%，27个首版次高端软件、4个行业大模型入选 省级攻关项目，6家企业入选省级工业互联网安全贯标试点。 齐鲁晚报.齐鲁壹点邹慧 12月15日，日照市人民政府新闻办公室召开新闻发布会，通报全市制造业数字化转型工作进展。近年来，日照市以新一代信息技术与制造业深度融合为主 线，从应用场景、平台赋能、支撑能力、基础设施四大维度持续发力，推动产业高端化、智能化、绿色化发展迈上新台阶，多项核心指标位居全省前列。 在数字化转型实践中，日照市成果丰硕。"十四五"期间，累计实施数字化转型重点项目692个，完成投资181.32亿元，培育数字化转型典型应用场景328 个、"晨星工厂"214家，先进级、卓越级智能工厂分别达17家、2家 ...

12月5日，2025数智科技生态大会——中国电信现代产业链焕新升级供应链大会暨AI+智慧监管生态合作论坛在广州召开，国务院国有资产监督管理委 员会规划发展局二级巡视员孙鹏出席论坛并致辞。 本次论坛聚焦数实深度融合与数字科技生态共建共享，紧扣AI创新应用与产业合作主题。借此机会，孙鹏提出三点倡议：一是以AI创新为引擎，赋能 产业高质量发展，持续提升数字经济技术与产品供给能力，把AI创新放在核心位置，加快通用大模型、行业大模型迭代优化，针对性解决产业企业解决研 发、生产、运营等各方面的难点痛点。 二是以链长建设为纽带，推动产业链融通协同。链长建设是构建现代化产业体系的关键抓手，中央企业要充分发挥龙头作用，加强与各类所有制的产业 链、供应链合作，促进产业链上中下游、大中小企业协同发展，特别是发挥好链长企业的融通带动作用，助力提升产业链供应链韧性和安全水平。 三是以构建产业生态为抓手，共建开放数字新优势。数字生态建设是一个整体性、系统性、长期性的工程，需要各方齐心协力、优势互补。中央企业要 加大数字科技领域投资合作，带头加强与商业伙伴工商共享，要结合粤港澳大湾区等重点区域优势，强化区域产业与资源联动，打造国际化数字合 ...

Core Viewpoint - The company emphasizes the importance of continuous innovation in high-tech industries to avoid obsolescence and aims to invest approximately 8% of annual sales revenue in R&D, focusing on AI technology, product innovation, and business model innovation [2][8]. Group 1: Strategic Direction - The company adopts an "All in AI" strategy, positioning itself as a leader in industry large models, akin to Palantir, and aims to leverage AI as a core force for industry transformation [3][6]. - The company believes that the current AI revolution presents a significant business opportunity, and its strategy is based on precise positioning rather than following trends blindly [6][7]. Group 2: Collaboration and Partnerships - The company has a long-standing strategy of collaborating with major tech firms like IBM, Microsoft, Huawei, and Tencent, which has been crucial for its growth and ability to capture industry trends [3][5]. - The partnership with Moore Threads exemplifies the company's philosophy of mutual benefit, combining software capabilities with hardware needs to enhance AI applications [4][5]. Group 3: Internal Growth and Efficiency - The company focuses on internal growth through innovation, maintaining an annual R&D investment of around 8% of sales revenue, and aims to optimize industry large models for various sectors including healthcare and finance [8][9]. - AI is integrated into daily operations to improve efficiency, allowing the company to reduce the workforce needed for tasks like coding, thereby reallocating resources to further AI model development [6][8]. Group 4: Mergers and Acquisitions - The company employs a dual strategy of internal growth and external expansion through acquisitions, specifically targeting firms that can enhance its AI capabilities and market reach [8][9]. - An example of successful acquisition is the purchase of ShenZhou New Bridge, which has significantly increased its revenue and profit, demonstrating effective synergy [9]. Group 5: Social Responsibility - The company integrates ESG principles into its operations, employing over 100 disabled individuals, which reflects its commitment to social responsibility while also enhancing its corporate image [9].

Core Insights - Huawei Cloud has completed a significant organizational restructuring to adapt to the AI era, appointing Zhang Pingan as Chairman and Zhou Yuefeng as CEO, while integrating its R&D system into the ICT infrastructure business [1][6][34] - The restructuring aims to enhance collaboration between Huawei Cloud and ICT, breaking down previous organizational barriers to improve efficiency and innovation in cloud services [17][21][34] Group 1: Organizational Changes - The restructuring includes the establishment of five major cloud R&D product lines: "Infrastructure Cloud Services," "Data & AI Cloud Services," "Database Cloud Services," "Security Cloud Services," and "HCS" [1] - Prior to this, in August, Huawei Cloud underwent a significant business adjustment, focusing on core teams and eliminating non-core departments to streamline operations [2][6] - The new structure emphasizes a "3+2+1" business focus, consolidating core services and platforms while shedding non-essential segments [2][6] Group 2: Strategic Focus - Huawei Cloud aims to become a foundational platform for AI applications, leveraging its extensive experience in communication and computing technologies to enhance cloud service performance and cost-effectiveness [5][33] - The company is positioning itself to capitalize on the growing demand for AI-driven cloud services, differentiating itself from competitors by focusing on its hardware capabilities [33][34] Group 3: Leadership and Execution - Zhou Yuefeng's appointment as CEO is seen as a strategic move to enhance the synergy between Huawei Cloud and ICT, given his background in data storage and understanding of the underlying technology [22][25][28] - The leadership structure, with Zhang Pingan focusing on strategic direction and Zhou Yuefeng on execution, is designed to ensure effective collaboration between cloud services and ICT resources [31][34] Group 4: Market Positioning - In the competitive landscape, Huawei Cloud is adapting to the AI-driven market, where other cloud providers are aggressively pursuing AI strategies [6][32] - The company aims to leverage its unique strengths in hardware and technology to provide comprehensive solutions, positioning itself as a key player in the AI cloud infrastructure market [33][34]

Core Viewpoint - The establishment of the "Hangzhou Dianzi University - Unicom Data Intelligence Artificial Intelligence and Big Data Joint Laboratory" signifies a collaborative effort between academia and industry to enhance innovation and support the national digital economy strategy [1][4]. Group 1: Collaboration and Innovation - The visit by Unicom Data Intelligence's Chairman and General Manager Chen Haifeng to Hangzhou Dianzi University focused on cooperation in artificial intelligence and big data, emphasizing the importance of industry-academia collaboration [1]. - The signing ceremony for the joint laboratory was attended by representatives from both institutions, highlighting their commitment to research cooperation in areas such as big data and large models, particularly in healthcare and cultural tourism [2]. - The initiative aligns with national innovation-driven development strategies, aiming to inject new momentum into regional digital economy development and industrial intelligence upgrades [4]. Group 2: Strategic Goals and Expectations - The university's leadership expressed gratitude for Unicom Data Intelligence's ongoing support and emphasized the need for integrating technological and industrial innovation to facilitate the transition of research outcomes from laboratories to production lines [1]. - Chen Haifeng outlined the company's investments in computing infrastructure, industry models, and digital government, while praising the university's research achievements in artificial intelligence [1]. - The joint laboratory is expected to serve as a platform for resource aggregation and collaborative problem-solving, fostering a win-win partnership between the two entities [4].

Core Viewpoint - The establishment of the "Hangzhou Dianzi University - Unicom Data Intelligence Joint Laboratory" marks a significant collaboration between academia and industry, focusing on artificial intelligence and big data to support China's digital economy development strategy [1][2]. Group 1: Collaboration Details - The joint laboratory will facilitate cooperation between Hangzhou Dianzi University and Unicom Data Intelligence, aiming to enhance innovation through industry-academia collaboration [1][2]. - The partnership is expected to leverage resources and tackle challenges together, contributing to regional digital economy growth and industrial intelligence upgrades [2]. Group 2: Strategic Importance - The collaboration aligns with the national innovation-driven development strategy, emphasizing the need for universities to integrate into the forefront of industrial development and promote efficient transformation of research outcomes [1][2]. - The focus on deep integration of technological and industrial innovation is highlighted as a core strategy for high-quality development in Zhejiang province [1].

Core Viewpoint - The Ministry of Industry and Information Technology, along with six other departments, has issued a plan to promote the innovative development of service-oriented manufacturing from 2025 to 2028, emphasizing the need to strengthen the foundation for service-oriented manufacturing development [1] Group 1: Infrastructure Development - Strengthening the construction of new information infrastructure is a key focus [1] - Promoting the integration and large-scale application of "5G + industrial internet" is essential [1] - There is a need for demand-based layout of computing power infrastructure to accelerate the integration of computing power with industry applications [1] Group 2: Data Utilization - Enhancing the supply of industrial data elements is crucial [1] - The plan aims to promote the resourceization, assetization, and elementization of data [1] - Construction of high-quality industry data sets is a priority [1] Group 3: AI Integration - The plan encourages the integration of artificial intelligence technology with service-oriented manufacturing [1] - It aims to guide the application of general large models, industry-specific large models, and intelligent agents in key scenarios [1] Group 4: Security Enhancement - Improving network and data security capabilities is highlighted as a necessary measure [1]