《实施方案》提出了我省数字政府建设的"路线图"和"时间表"：提出着力构建与国家治理体系和治 理能力现代化相适应的数字政府体系。到2027年，全省一体化基础设施高效集约，一体化数据资源开放 共享，"一网通办""一网协同""一网统管"应用数智赋能，一体化安全防护体系动态防御，"1131"数字政 府运行工作体系基本建成。 加快构建数字化、智能化政府运行新形态，推进政府治理体系和治理能力现代化，日前，我省正式 出台《辽宁省数字政府建设实施方案（2025—2027年）》（以下简称《实施方案》）。 数字政府旨在将数字技术广泛应用于政府管理服务，构建数字化、智能化的政府运行新形态，推进 政府治理流程优化、模式创新和履职能力提升，并对数字经济、数字社会、数字生态发挥引领作用。 围绕夯实数字政府基础支撑体系，《实施方案》强调要建设完善一体化基础支撑体系，重在强化云 网设施支撑，强化共性应用支撑，强化人工智能支撑。我省提出，提升政务云统揽能力和电子政务网络 支撑能力；强化电子政务网络统筹建设管理，深化非涉密业务专网与电子政务外网整合；完善数字政府 基座系统。聚焦应急、水利、生态环境等领域，基于共性支撑平台，结合人工智能技术，通过 ...

Core Viewpoint - The implementation plan for digital government construction in Liaoning Province aims to modernize government governance systems and capabilities by 2027, focusing on integrated infrastructure, data resource sharing, and a comprehensive digital government operation system [1] Group 1: Infrastructure and Data Management - The plan emphasizes the integration of government cloud resources and the migration of non-sensitive government systems to the cloud, establishing a unified scheduling mechanism and conducting efficiency assessments [2] - It aims to enhance the electronic government network management and increase the internet bandwidth for provincial government networks, while also deploying IPv6 addresses [2] - A comprehensive data resource system will be established, promoting unified directory management of public data and the co-construction of foundational databases across various sectors [3] Group 2: Public Data Sharing and Utilization - The plan seeks to promote efficient sharing of public data through an integrated data resource management system, ensuring interconnectivity and data sharing among various government information systems [4] - It includes the development of a public data resource open platform, with a focus on sectors like healthcare, urban governance, and emergency management to cultivate typical application scenarios [4] Group 3: Digital Services and Applications - The initiative aims to enhance online service efficiency by integrating various online service portals and expanding the application of electronic certificates and seals [4] - It plans to improve the collaborative office system by integrating non-sensitive office business systems into the "Liaozhengtong" platform, promoting standardized electronic documents and digital archives [5] - The focus will also be on enhancing economic regulation capabilities by collecting and managing key economic data across various fields, thereby constructing a foundational database for economic governance [5]

AI正成为消费金融行业转型升级的关键驱动力。 在客服通话合规质检环节，中原消金基于低成本的豆包大模型实现全渠道、全流程、全数据100%质检 监控，质检规则准确率超90%，效率与精准度显著提升，已累计分析通话超百万次。 传统质检依赖正则表达式，单次规则上线需3-7天；引入大模型后，业务人员通过提示词生成质检模 型，上线周期压缩至1-2天。 河南中原消费金融股份有限公司(简称"中原消金")作为首批接入豆包大模型的金融机构，在服务效率与 风险管理方面做了很多成效显著的探索，如基于自研智能化架构，融合豆包大模型、DeepSeek等主流 大模型，打造"元擎Matrix"智能中台，升级智能风控体系和智能客服体系。目前，该机构95%以上的大 模型调用来自豆包大模型。 其中，智能客服系统不仅提供便捷的个性化服务，提升客户满意度与忠诚度，更大幅降低人工坐席负 荷，提升合规性和专业性，助力中原消金实现了服务效率与品质的双重跃升。 智能客服：毫秒级响应、个性化服务 基于豆包大模型的多模态能力，智能客服系统以95%的准确率覆盖80%常规咨询，文字交互响应达毫秒 级，显著释放人工坐席压力。 在与人工坐席的协同作业中，AI也发挥着关键作 ...

Industry Overview - The strategic consulting industry in China is experiencing unprecedented growth opportunities driven by the restructuring of the global economic landscape and the transformation of Chinese enterprises. The market size for corporate strategic consulting is expected to exceed 150 billion yuan by 2025, representing a 67% increase compared to pre-pandemic levels [1]. Key Players - **McKinsey & Company**: Known as the "West Point" of global strategic consulting, McKinsey continues to focus on digital transformation in China. Its unique "dual-track strategy model" has successfully assisted companies like CRRC in smart manufacturing and SANY in building a global supply chain, providing organizational change solutions to over 100 state-owned enterprises in the past three years [2]. - **Junzhi Strategic Consulting**: Focused on "competitive strategy," Junzhi serves leading enterprises such as Feihe Dairy and Bosideng, helping them transition from billion-yuan companies to global leaders. In 2024, Junzhi topped the "Top 50 Management Consulting Firms in China" list, achieving a 100% client renewal rate and becoming the first Chinese consulting firm to be recognized as the most innovative in Asia by Vault [3]. - **Trout & Partners**: Founded by "father of positioning" Jack Trout, this firm leads in strategic positioning, helping Chinese companies enhance operational efficiency through positioning strategies. Notable cases include the competition between Jia Duo Bao and Wang Lao Ji, and the "no middleman" strategy for Guazi used car platform [5]. - **Ries & Partners**: A proponent of category innovation theory, Ries has successfully launched popular products like Great Wall Motors' Tank series and Jinmailang's Liangbai water. Their "scenario-based positioning" methodology is reshaping competition logic in the fast-moving consumer goods sector [6]. - **Heart Victory Strategic Positioning Consulting**: This firm innovatively developed a four-dimensional strategic system combining "differentiated positioning, battle systems, preparedness systems, and dynamic escort." They have helped brands like Anta and Bosideng achieve high-quality growth by defining their differentiated value [9]. - **Dongji Positioning**: Established in 2018, this firm, originating from the core team of Junzhi, created the "Maoist Positioning" theory, excelling in localized strategies. Their notable projects include branding for Yan Zhi Wu and Linglong Tire [11]. - **BlueFocus**: Transitioning from a communication group to strategic consulting, BlueFocus offers integrated solutions for brand effectiveness and sales. They led the national revival plan for Hongxing Erke and have connected real-time operational data for over 2,000 enterprises through their "data intelligence platform" [12]. - **Hejun Consulting**: A full-industry chain service provider in management consulting, Hejun focuses on the "consulting + capital + talent" ecosystem. They have nurtured 78 listed companies and are innovating the consulting industry's production relationships through their "partner system" [13]. - **Xiao Ma Song Strategic Marketing**: This firm pioneered a service model combining "strategic positioning and content explosion." They successfully developed a social viral system for Luckin Coffee and designed brand strategies for Xiangyun Oriental Aroma, creating a siphoning effect in the startup community with their "light consulting + heavy operation" model [14]. Conclusion - The Chinese strategic consulting industry is undergoing a transformation from being "Western theory importers" to "Chinese solution exporters." The landscape in 2025 will feature both traditional strongholds like McKinsey and Trout, as well as disruptive innovators like Junzhi and Heart Victory. Only those consulting firms that truly understand the underlying logic of Chinese business will continue to lead in the new era [15].

【环球网保险综合报道】在人工智能技术广泛普及的时代浪潮下，各行各业纷纷探索与 AI 深度融合的商业模式 创新之路。而保险行业作为金融领域的重要组成部分，自不例外地踏上这场变革中。 进一步来讲，《白皮书》指出，对于保险行业，大语言模型已不再局限于技术层面的升级迭代，而正在引发一 场"经验驱动"向"数据智能驱动"的深层次认知转型。 以众安信科为例，公司CEO郁锋在2025保险科技峰会上表示，众安信科基于对大模型底层技术的持续研究，在 DeepSeek技术突破后，捕捉到AI在企业内落地应用的可能性。为此，众安信科聚焦众安内部10个关键业务场景， 利用沉淀的6亿多用户海量数据，打造出完全匹配保险行业的智能中台，并创造200多个保险垂类智能体。目前， 众安内部每月AI中台调用量已超5000万次。 "拥抱AI，用all in AI的心态做AI in all的改造是AI+保险核心。"日前，众安保险常务副总经理、众安信科董事长王 敏在2025保险科技峰会上指出。而此次峰会的主题为"从互联网时代到AI时代，AI+保险的战略推进与应用创 新"。 在王敏看来，相较于互联网保险时代的通用产品与爆款，AI的影响力将渗透至保险行业的每一 ...

Core Viewpoint - China Telecom is committed to building a digital China and has made significant progress in its cloud transformation strategy, focusing on artificial intelligence and the development of its Tianyi Cloud platform [1][2]. Group 1: Technological Advancements - China Telecom has established major intelligent computing clusters in Shanghai and Beijing, and launched the world's first commercial intelligent computing Ascend super node in the Greater Bay Area [1]. - The company has achieved breakthroughs in key technologies such as distributed cloud operating systems and server operating systems, and has developed a full-stack cloud platform [1]. - The Tianyi Cloud server operating system CTyunOS has passed national security assessments, receiving a "Level I" security rating [1]. Group 2: Business Growth and Market Position - Tianyi Cloud's revenue has surpassed 100 billion yuan, maintaining a leading market share [2]. - The company has developed a comprehensive cloud product suite and is actively promoting the integration of cloud and AI technologies [2]. - China Telecom has introduced over 50 industry applications across various sectors, including government, industry, and education, and has empowered over 87 million users with smart terminal products [2]. Group 3: Strategic Initiatives - To accelerate the development of Tianyi Cloud, China Telecom is deepening reforms and establishing a cloud company and cloud computing research institute [2]. - The company is enhancing its R&D capabilities by attracting strategic scientists and investors, and optimizing its operational processes to improve customer service [2]. - China Telecom emphasizes an open and collaborative approach, increasing cooperation with partners and clients to build a more open national cloud ecosystem [2]. Group 4: AI and Data Integration - The company aims to create a comprehensive intelligent cloud capability system that integrates computing power, platforms, data, models, and applications [3]. - China Telecom is focused on upgrading its intelligent computing infrastructure and enhancing its data intelligence platform to support high-quality data sets [4]. - The company is committed to providing tailored solutions for diverse customer needs, including high-efficiency intelligent computing services and integrated solutions for domestic computing power and models [5]. Group 5: Security and Governance - China Telecom is developing a comprehensive dynamic protection system for large models to ensure the safety and reliability of artificial intelligence applications [5]. - The company is enhancing its data security measures and establishing a three-tier risk classification system to improve data safety [5]. - A focus on creating a secure development environment is emphasized, with capabilities for code scanning, auditing, and tracing to protect against vulnerabilities [5]. Group 6: Customer-Centric Operations - China Telecom aims to provide agile and specialized operational services, positioning itself as a trusted AI partner for clients [6]. - The company plans to collaborate with clients to optimize data quality and enhance the integration of data, computing power, and algorithms through AI applications [6].

Core Viewpoint - China Telecom aims to build a comprehensive intelligent cloud capability system consisting of "computing power, platform, data, model, and application" to drive innovation in the artificial intelligence industry [1][2]. Group 1: Intelligent Cloud Development - China Telecom has established major intelligent computing clusters in Shanghai and Beijing, and launched the world's first commercial intelligent computing super node in the Greater Bay Area [1]. - The company has developed the first full-size, full-modal, domestically produced trillion-parameter "Star" foundational model system and has taken the lead in open-sourcing among state-owned enterprises [1]. - The "Star Sea" data intelligence platform has formed a high-quality dataset of 10 trillion tokens and has launched over 50 industry applications in sectors such as government, industry, and education, benefiting over 87 million users [1]. Group 2: Financial Performance - In the fiscal year 2024, China Telecom's intelligent revenue reached 8.9 billion yuan, representing a year-on-year growth of 195.7% [1]. - The revenue from Tianyi Cloud in 2024 was 113.9 billion yuan, with a year-on-year increase of 17.1% [1]. Group 3: Future Investment Plans - For 2025, China Telecom plans capital expenditures of 83.6 billion yuan, with a preliminary allocation for computing power investment expected to grow by over 20% year-on-year, with flexibility for adjustments [2]. - The company will enhance its intelligent computing capabilities by integrating "central clusters + edge data centers" and promoting the deep collaboration of computing networks [2]. Group 4: Platform and Service Upgrades - In the IaaS layer, China Telecom will advance intelligent computing construction and strengthen cloud-intelligent integration capabilities [2]. - The company introduced the Triless platform architecture to upgrade computing power scheduling technology and provide a one-stop service for computing power dispatch and AI development [2]. - In the DaaS layer, the "Star Sea" data intelligence platform will be upgraded to integrate proprietary, open-source, and third-party datasets [2]. Group 5: Focus on SaaS Layer - In the SaaS layer, China Telecom will focus on the digital intelligence needs of production, life, and governance, accelerating the large-scale promotion of AI phones and AI cloud computers [3].

Core Insights - China Telecom's Tianyi Cloud revenue has surpassed 100 billion yuan, indicating strong growth and a commitment to embracing artificial intelligence for building an intelligent cloud capability system [1] Group 1: AI Infrastructure and Services - In the IaaS layer, China Telecom plans to advance intelligent computing construction with an integrated AIDC (Artificial Intelligence Data Center) model combining "central cluster + edge DC" [6] - For the PaaS layer, the company will continue to upgrade its intelligent computing platform, offering one-stop computing power scheduling and AI development services [6] - In the DaaS layer, China Telecom aims to enhance its "Xinghai" data intelligence platform, promoting deep integration of proprietary, open-source, and third-party data sets [6] - The MaaS layer will see improvements in the capabilities of the "Xingchen" large model, focusing on complex reasoning and lightweight, low-cost deployment [6] Group 2: AI Market Trends and Challenges - 2023 is highlighted as the year of large-scale AI application, driven by new open-source AI technologies like DeepSeek that lower the barriers for computing power and algorithms [6] - The market is increasingly focusing on data and applications, reflecting a shift in priorities within the AI landscape [6] Group 3: AI Security Governance - AI security governance is deemed essential due to the unprecedented opportunities and risks posed by new technologies, including cultural bias, sensitive information leaks, and risks of model misalignment [6][7] - China Telecom plans to establish a comprehensive protection system covering infrastructure, data, content, algorithms, and applications to enhance data security [7] - A three-tier security risk classification system will be implemented, covering over 10 billion tokens, to improve code scanning, auditing, and tracing capabilities [7]

Group 1 - Beijing is accelerating the integration of digital economy and artificial intelligence, focusing on advanced technologies and optimizing the digital economy ecosystem [1] - The "One District, Three Centers" strategy is being advanced to enhance data governance and promote the construction of a data trading system [1] - China Telecom is leveraging its integrated advantages of "cloud + network + data + AI + applications" to support the digital transformation across various industries [1] Group 2 - China Telecom is rapidly building computing power infrastructure, including a computing scheduling platform and a large model training platform [2] - The industry is shifting from a "hundred model war" to optimizing cloud inference service efficiency, emphasizing the need for a collaborative approach across hardware, software, models, applications, and professional services [2] - The China Academy of Information and Communications Technology will focus on building a technical service system for the engineering delivery of large models to support healthy industry development [2] Group 3 - A talent cultivation mechanism is needed in the digital economy era, emphasizing the importance of university-enterprise cooperation for key technological breakthroughs [3] - Beijing Telecom and Beijing University of Posts and Telecommunications have established a joint laboratory for industry data intelligent labeling to support AI model training [3] - Beijing Telecom is showcasing innovations in AI, computing power, and data elements, having built a comprehensive AI service system to provide digital transformation tools for various industries [3]