网络空间安全的核心在于保护网络系统、设备、程序及数据的安全，涵盖多个关键方面。随着5G、云计算、大数据等技术的快速发展，网络架构日益复杂化，网络安全事件频发，企业数据资产价值上升，数据泄露成本高昂。为了应对这些挑战，网络安全人才知识技能体系日益完善，包括密码学应用、Web安全、网络渗透等多个子体系。同时，AI技术在网络安全领域的应用也日益广泛，通过实时威胁分析、增强网络防御、生成式AI应用等手段，AI能够有效应对复杂威胁，实现 高效安全防护与持续验证权限管理。这一趋势将推动网络安全市场规模的不断扩大，为网络安全领域的发展注入新的动力。 

DeepSeek部署与运行测试：国内大模型公司“深度求索”开发的DeepSeek-V3和DeepSeekR1引起了市场广泛关注，以极低的训练成本，实现了与GPT-4o等顶尖模型相媲美的性能。我们在本篇报告中详细介绍了如何使用Ollama这一开源框架快速在本地实现模型部署和调用，列举了不同参数版本模型和显卡硬件需求对应关系。简单测试了本地部署14B版本模型和满血版模型的回答效果差异。

智慧城市 - 行业报告 - 2025 年 2 月

管理咨询行业 – 行业报告 – 2025 年 2 月

在线调查软件行业 - 行业报告

在先前的报告中，我们曾探讨了利用大语言模型（LLM）进行市场与行业分析，并取得了令人满意的成果。当时所采用的模型为DeepSeek-V2和Qwen-Max。由于当时缺乏专门的推理模型（reasoning model），因此需要人工构建思维链（Chain-of-Thought, CoT）或提示词（Bucket Prompts）以辅助分析。随着DeepSeek-R1推理模型的问世，我们得以借助其内置的推理能力，更高效地整合和利用相关信息进行深度分析，从而生成更为精准的预测结果。本文借助DeepSeek-R1模型，对新闻报道、研究报告以及技术指标等文本数据进行了系统分析，借助RAG以及自我反省（self-reflection）技术，以此构建了 DeepSeek推荐行业策略。回测结果表明，DeepSeek-R1所推荐行业的投资组合展现出显著的超额收益。

网络安全行业 – 行业报告 – 2025 年 2 月

Data center general construction involves the construction of an entire data center facility. It includes architectural planning and designing of the facility and base building shell construction. A data center is a facility generally used by an enterprise to accommodate computer systems, servers, network systems, and other related components to support the IT infrastructure of companies. Data center general construction providers plan the architectural design according to the requirements of the client and construct the building shell.

Data center colocation is a type of data center in which the colocation service providers offer data center spaces for setting up end-user servers. Under managed hosting service, a company takes a server on lease from the hosting service provider and manages operation at the site of the server. The end-user has complete ownership of the server in data center colocations unlike managed hosting.

Data security is a collection of activities aimed at keeping data safe from unauthorized access, use, disruption, destruction, or modifications, both when stored and when transmitted from one system or physical location to another. It ensures the confidentiality, integrity, and availability of the data stored.

社交网络游戏开发行业 – 行业报告 – 2025 年 2 月

A data science platform is a comprehensive software environment that provides integrated tools and capabilities for data scientists, analysts, and other stakeholders to perform end-to-end data analysis, modeling, and deployment tasks. It serves as a centralized hub where users can access data, explore and visualize datasets, develop machine learning models, collaborate with team members, and deploy solutions into production environments.

Data center precision air conditioning refers to specialized cooling systems designed to maintain optimal temperature and humidity levels within data centers and other environments housing sensitive electronic equipment. Unlike traditional air conditioning systems, which focus on general room cooling, precision air conditioning systems provide targeted and efficient cooling directly to high-heat-generating equipment, ensuring that the ambient conditions remain within strict thresholds.

Data-as-a-Service (DaaS) is a data management strategy that allows data to be stored, accessed, and analyzed over the internet through cloud-based services. This model leverages cloud computing to provide users with data on demand, regardless of geographical location or device. DaaS enables organizations to offload the complexities of data management, such as storage, integration, processing, and security, to a third-party provider.

Data warehousing is a data management system that supports business intelligence. It involves processing, analysis, and reporting large amounts of data. Thus, it also acts as a central repository for integrated data from one or more disparate sources.

Data center IT equipment refers to the physical hardware and components used to support and operate data centers, which are facilities that house computer systems and associated components, such as servers, storage devices, networking equipment, and power infrastructure. All this equipment is crucial for storing, processing, managing, and distributing large volumes of data in a secure, reliable, and efficient manner. Data center IT equipment includes server racks, switches, routers, firewalls, power distribution units (PDUs), cooling systems, uninterruptible power supplies (UPS), and backup systems, among others.

Data visualization tools are software applications that help users convert complex data sets into understandable visual representations such as charts, graphs, and maps. These tools allow users to analyze and interpret data more effectively, identify patterns, trends, and outliers, and communicate insights to facilitate data-driven decision-making. By providing interactive and dynamic visualizations, these tools enhance data exploration, discovery, and presentation, enabling users to extract meaningful insights and communicate complex information in a visually appealing and intuitive manner

Corporate training involves activities and lessons for employees for their professional development. Focusing on professional development through corporate training helps employees improve their skills and enhance their performance. Employers use training to acclimate new employees, teach current employees new skills for the same job, and advance employees into jobs requiring different skill sets. Training could be specific to a company, or it could be general.

Clinical trial software, also known as clinical trial management systems (CTMS), are digital platform used to manage clinical trials activities with more efficiency. This software system responsible for managing overall operational aspects of clinical studies from study startup to closeout with the incorporation of digital tools and technologies that reduce human interference and errors in complex trials operations. Clinical research sites used clinical trial software to centralize data related to procedures, subjects, workforce, billing, financials, and much more.

从金融股视角思考安全资产当立：在地缘政治风险加剧、不确定性增强、 经济增速换挡、利率逐步下行的宏观背景下，安全性成为各主体资产配 置的重点考虑因素。从金融视角考虑安全性主要包含以下三个维度：1） 居民端：地产金融属性消退、“资管新规”打破刚兑、人口老龄化等因 素推动居民资产对安全性资产的配置。2）金融机构端：严监管背景下 银行、券商、保险等金融机构具有安全发展和稳健经营的诉求。3）监 管端，有效防范化解重大经济金融风险，牢牢守住不发生系统性风险的 底线，是我国经济和社会平稳发展的重大前提，实现资本市场平稳发展 是应对金融风险的重要组成部分。