一、国家数据局关键论断
1. 2023年11月23日第二届全球数字贸易博览会国家数据局长刘烈宏同志的重要观点
（1）国家数据局的使命
促进数据合规高效流通使用，赋能实体经济，围绕数据要素产权流通分配制度，构建适应数据特征，符合数字经济发展规律，彰显创新引领的数据基础之上，这个打通数据流通使用的堵点、难点、潜能，推动做强做优做大数字经济，推进数字基础设施建设高质量发展，推进数字领域数据领域科技创新，推动数字经济领域国际合作。目前国家数据局围绕数据要素市场化配置改革，正在推进系列重点工作，包括丰富完善数据基础制度体系，促进数据流通交易和开发服务，推动数据基础设施建设，推进数据领域核心技术攻关，强化数据安全治理等。
（2）基础设施的新要求
需要构建适应数据要素特征，促进数据流通利用，发挥数据价值效用的数据基础设施。数据基础设施是从数据要素价值释放的角度出发，在网络算力等设施的支持下，面向社会提供一体化数据汇聚、处理、流通、应用、运营、安全保障服务的一类新型基础设施，是覆盖硬件、软件、开源协议、标准规范、机制设计等在内的有机整体。其中以5G光纤卫星互联网为代表的网络设施，为数据提供高速泛在的连接能力，以通用智能超级算力为代表的算力设施，为数据提供高效敏捷的处理能力。以数据空间、区块链、高速数据网为代表的数据流通设施，打通数据共享流通的堵点，以隐私计算、联邦学习等为代表的数据安全设施，保障数据的安全。 数字化转型网www.szhzxw.cn
（3）基础设施的新作用
在数据汇聚方面，数据基础设施，依托5G高速光纤ipv6下一代互联网、卫星互联网等泛在互联的高速通信网络，叠加互联网、区块链、标识、编码和解析等一系列技术，可以对多元多维数据进行高效接入、可信登记、精准确权，有效提升数据汇聚环节的广泛性、便捷性、精准性。
在数据处理方面，数据基础设施利用云计算、边缘计算、分布式计算、大数据处理、AI分析、绿色低碳等技术，为参与方提供高效便捷、安全可靠的数据要素的存储、计算、分析能力，有效推动数据处理环节实现高效率、低成本、高智能在数据流通方面，数据基础设施通过数据空间、隐私计算、区块链、数据脱敏、数据沙箱等技术，实现数据在不同主体间可用，不可见，可控可计量为不同行业不同地区、不同机构提供可信的数据共享，开放交易环境，有效提升数据流通环节的安全可靠水平。
在数据应用方面，数据基础设施为数据应用方提供通用化的智能决策，辅助设计、智慧管理等能力，帮助数据应用方优化设计、生产、管理、销售及服务的全流程，进一步降低数据的应用门槛，提升数字化水平。数据基础设施也要充分利用人工智能大模型的最新成果，更好推动数据要素赋能千行百业，促进数字化转型和智能化升级。 数字化转型网www.szhzxw.cn
在数据运营方面，数据基础设施通过一系列技术工具和规则手段的协同联动，推动数据汇聚处理、流通、应用、交易等功能有序高效的运转，促进数据要素市场的供需精准匹配，保障清算、结算、审计、监督、争议仲裁等一系列公共服务高质量开展，有效支撑数据要素市场各类资源的高效配置。
在数据安全保障方面，数据基础设施通过隐私保护加密数据加密数字身份等技术手段，帮助各参与方建立数据安全保障体系，推动各参与方在数据合规性建设方面形成最佳实践，贯穿数据生命周期全流程，确保数据的可信性、完整性和安全性。通过数据基础设施，不同区域、不同卡领域的数据资源，实现有效有序的汇聚不同行业不同机构的数据产品，实现合规高效流通，不同参与主体实现对数据资源和产品的有效利用，整体推动数据服务千行百业，深入融入深度的融入社会生产生活，推动数据要素供得出流得动，用得好，数据基础设施的建设和数据资源开发利用的实施一起，共同为数据要素产权确权、收益分配、交易流通、安全治理等核心问题的解决发挥作用。 数字化转型网www.szhzxw.cn
在数字经济发展方面，数据基础设施也将对扩大数据产业规模，繁荣数据产业生态，促进数字经济高质量发展产生重要意义。据业界初步的估算，数据基础设施每年将吸引直接投资约4,000亿元，带动未来5年投资规模约2万亿元。推进数实融合新模式生成，促进数字经济高质量发展。数据基础设施的建设不仅需要全社会的参与，也将为全社会带来新的发展机遇。
下一步将加快推进数据基础设施的建设工作。一是加强顶层设计，适度超前部署。二是繁荣产业生态，促进产业技术创新与融合。三是开展国际合作，推动国际数据基础设施互联互通建设。
在数据创新融合变革的时代浪潮下，我们欢迎高校科研院所、产业链各界与我们一道推动数据基础设施、概念理论、架构体系，核心技术标准规范不断的演进迭代，携手并进，推动数据基础设施建设，完善数据基础制度，激活数据要素价值，谱写数字经济发展新篇章，共同为我国数据事业发展贡献力量。
2.2023年11月25日全球数商大会国家数据局局长刘烈宏同志的重要观点
（1）国家数据局的着重发力点
国家数据局将从供需两端发力，在智能制造、商贸流通、交通物流、金融服务、医疗健康等若干重点领域，加强场景需求牵引，打通流通障碍，提升供给质量，推动数据要素与其他要素相结合，催生新产业、新业态、新模式、应用机制。 数字化转型网www.szhzxw.cn
（2）数商企业发挥的重要作用
目前的数商企业分为服务型企业、应用型企业、技术型企业等三类，其中服务型企业从事数据产品开发、发布、承销和数据资产合规化、标准化、增值化服务；应用型企业从事利用数据赋能相关产业，推动产出增加和效率提升；技术型企业是为数据采集、传输、管理等提供支撑。数商企业是数据产业的重要组成部分，在盘活数据要素价值中发挥着关键作用。
服务型数商是数据流通的“推进者”，促进数据动起来。通过探索可信流通技术，提供数据质量评估、风险评估、合规交付等服务，为数据供需双方提供可信链接，推进数据高效流动。
应用型数商是数据价值的“转化者”，促进数据用起来。通过提供数据开发利用工具、数字化转型服务等，帮助千行百业挖掘数据价值，将痛点难点转化为新增长点，将投入成本转化为新的利润来源。
技术型数商是数据资源的“开发者”，促进数据聚起来。通过帮助各类经营主体更好地采集、清洗、存储、传输和管理数据，让分散在不同系统、平台的数据，汇聚成标准化、可流通的生产要素，拓展数据来源，提升数据质量。 数字化转型网www.szhzxw.cn
（3）国家数据局重视数商发展
在推进数据要素市场化配置的过程中，特别是在丰富完善数据基础制度、推动数据基础设施建设、促进数据流通和开发利用等方面，数商扮演着重要的角色，发挥着关键的作用。希望数商积极关注并积极参与‘数据要素×’行动，让数据供得出、流得动、用得好，促进我国数据基础资源优势转化为经济发展新优势，推动数据在不同场景中发挥出千姿百态的乘数效应。
（4）国家数据局“数据要素X”
数据具有规模报酬递增、非竞争性、低成本复制的特点，作用于不同主体，与不同要素结合，可产生不同程度的倍增效应。
从微观看，数据作用于劳动者，便于人们学习、使用先进的知识和技术，提升人力资源素质，提高劳动生产效率；数据作用于资本，可以辅助投融资决策，更好地推动金融服务实体经济；数据作用于技术，可以重塑创新范式，促进先进技术的传播扩散，带动全社会生产力水平提升。
从宏观看，数据作用于经济，可以优化资源配置，促进生产方式变革，提升经济发展的效率与质量；数据作用于治理，可以推进政府管理和社会治理模式创新，实现政府决策科学化、社会治理精准化、公共服务高效化。 数字化转型网www.szhzxw.cn
数据的乘数效应三个方面的重要表现。
一是以“协同”实现全局优化，提升产业运行效率，增强产业核心竞争力。通过从数据中挖掘出有效信息作用于其他要素，改造提升传统要素投入产出效率，以数据流引领物资流、人才流、技术流、资金流，找到企业、行业、产业在要素资源约束下的“最优解”，提高全要素生产率，可解决过去解决不了的难题，实现过去创造不了的价值。比如，通过打通制造业产业链数据，可实现供应链上下游零部件厂与主机厂的高效协同研发制造，有效缩短研发周期，降低供应链成本，创造更高质量、更好性能的高性价比产品。
二是以“复用”扩展生产可能性边界，释放数据新价值，拓展经济增长新空间。一份数据，可由多个主体复用，将在不同场景创造多样化的价值增量。与此同时，数据在使用中一般不会损耗，反而“越用越好”，突破传统资源要素约束条件下的产出极限，拓展新的经济增量。比如，医疗健康数据用于临床诊断，可以帮助医生更精准地治疗疾病；应用于医学研究和药物开发，可加速新药上市、提高治愈率；应用于医保行业，可实现定制化保险和精确定价，带动医疗健康产品和服务升级。
三是以“融合”推动量变产生质变，催生新应用、新业态，培育经济发展新动能。数据规模越大、种类越多，产生的信息和知识就越多，创造价值的空间就越大。不同类型、不用维度的数据聚合后，还可能从量变引发质变，获得意料之外的价值。比如，在人工智能大模型训练过程中发现，当模型规模和训练数据量的累积超过一个临界值时，会出现性能阶越，新的能力“涌现”出来。新的人工智能大模型应用，在语音数据之外，更整合进图像数据，扩展出多模态的处理能力，可以将视频图像翻译成自然语言，为视障用户提供解释和引导，催生出新的应用形态。
下一步，国家数据局将围绕发挥数据要素乘数作用，与相关部门一道，研究实施“数据要素×”行动，从供需两端发力，在智能制造、商贸流通、交通物流、金融服务、医疗健康等若干重点领域，加强场景需求牵引，打通流通障碍、提升供给质量，推动数据要素与其他要素结合，催生新产业、新业态、新模式、新应用、新治理。 数字化转型网www.szhzxw.cn
二、数据领域建设新方向
1. 数据技术的发力点
数据汇聚技术包括5G高速光纤ipv6下一代互联网、卫星互联网、叠加互联网、区块链、标识、编码和解析等；数据处理技术包括云计算、边缘计算、分布式计算、大数据处理、AI分析、绿色低碳、数据空间、隐私计算、区块链、数据脱敏、数据沙箱等；数据应用技术包括智能决策、辅助设计、智慧管理等；数据运营技术包括技术工具、规则手段等；数据安全技术包括隐私保护、数据加密、数字身份等。
2. 数据应用的发力点
智能制造、商贸流通、交通物流、金融服务、医疗健康等重点领域的应用场景。制造业可以打通产业链数据，可实现供应链上下游零部件厂与主机厂的高效协同研发制造，有效缩短研发周期，降低供应链成本，创造更高质量、更好性能的高性价比产品。医疗健康数据用于临床诊断，可以帮助医生更精准地治疗疾病；应用于医学研究和药物开发，可加速新药上市、提高治愈率；应用于医保行业，可实现定制化保险和精确定价，带动医疗健康产品和服务升级。新的人工智能大模型应用，在语音数据之外，更整合进图像数据，扩展出多模态的处理能力，可以将视频图像翻译成自然语言，为视障用户提供解释和引导，催生出新的应用形态。
3. 三类数商的发力点
服务型数商是提供数据质量评估、风险评估、合规交付等；应用型数商是提供数据开发利用工具、数字化转型服务等；技术型数商是提供数据采集、清洗、存储、传输和管理等。
4. 基础制度的发力点
一是数据基础设施、概念理论、架构体系、核心技术标准规范；二是数据要素产权确权、收益分配、交易流通、安全治理等基础制度。 数字化转型网www.szhzxw.cn
5. 数据价值的发力点
便于人们学习、使用先进的知识和技术，提升人力资源素质，提高劳动生产效率；辅助投融资决策，更好地推动金融服务实体经济；重塑创新范式，促进先进技术的传播扩散，带动全社会生产力水平提升。优化资源配置，促进生产方式变革，提升经济发展的效率与质量；推进政府管理和社会治理模式创新，实现政府决策科学化、社会治理精准化、公共服务高效化。
三、数据治理建设新模式
传统的数据治理更加专注组织层面的数据管理，也就是组织内部管理数据的方式和能力。而在数字经济社会，数据要素流通的新形势下，数据治理必须创新理念，突破组织的边界，在更大范围进行治理。数据的流通要经历企业的内循环、跨组织的外循环、以及跨国家的更大循环。数据本身的特点也决定了数据不像实物资产的有形和具象，而是虚拟和虚幻，价值由质量决定、敏感由汇聚决定、流通由需求决定，这些因素又相互影响。因此，新形势下的数据治理不但要考虑组织内的治理，还要考虑整个社会乃至整个世界范围的治理。构建适合大生态下的数据治理标准和体系，成为当下数据治理人亟需考虑的关键事项。
翻译：
The National Data Bureau has pointed out five major directions for the construction of the data field
First, key conclusions of the National Data Bureau
1. Important views of Comrade Liu Liehong, Director of the National Data Bureau of the second Global Digital Trade Expo on November 23, 2023
(1) Mission of the National Data Office
Promote the compliance and efficient circulation and use of data, empower the real economy, build a circulation and distribution system of property rights of data elements, adapt to data characteristics, conform to the development law of the digital economy, and highlight the innovation-led data basis, which clears up the blocking points, difficulties, and potential of data circulation and use, promote the strengthening, improving and expanding the digital economy, and promote the high-quality development of digital infrastructure construction. We will promote scientific and technological innovation in the digital and data fields and promote international cooperation in the digital economy. At present, the National Data Bureau is promoting a series of key work around the market-oriented configuration reform of data elements, including enriching and improving the data basic system, promoting data circulation and trading and development services, promoting the construction of data infrastructure, promoting core technology research in the data field, and strengthening data security governance. 数字化转型网www.szhzxw.cn
(2) New requirements for infrastructure
It is necessary to build a data infrastructure that can adapt to the characteristics of data elements, promote the circulation and utilization of data, and exert the value and utility of data. Data infrastructure is a new type of infrastructure that provides integrated data aggregation, processing, circulation, application, operation and security services to the society under the support of network computing power and other facilities from the perspective of data element value release. It is an organic whole covering hardware, software, open source protocols, standards and specifications, mechanism design, etc. Among them, the network facilities represented by 5G fiber optic satellite Internet provide high-speed ubiquitous connection capabilities for data, and the computing facilities represented by general intelligent super computing power provide efficient and agile processing capabilities for data. Data circulation facilities represented by data space, blockchain, and high-speed data networks open up the blocking point of data sharing circulation, and data security facilities represented by privacy computing and federal learning ensure data security. 数字化转型网www.szhzxw.cn
(3) The new role of infrastructure
In terms of data convergence, data infrastructure, relying on ubiquitous high-speed communication networks such as 5G high-speed fiber optic ipv6 next generation Internet and satellite Internet, and superimposing a series of technologies such as Internet, blockchain, identification, coding and analysis, can efficiently access, trust registration, and accurately confirm rights of multi-dimensional data. Effectively improve the breadth, convenience and accuracy of data aggregation.
In terms of data processing, data infrastructure uses cloud computing, edge computing, distributed computing, big data processing, AI analysis, green and low-carbon technologies to provide participants with efficient, convenient, safe and reliable data element storage, calculation and analysis capabilities, effectively promoting data processing to achieve high efficiency, low cost, and high intelligence in data circulation. Through data space, privacy computing, blockchain, data desensitization, data sandbox and other technologies, data can be used between different subjects, invisible, controllable and measureable to provide trusted data sharing for different industries, different regions and different institutions, open the trading environment, and effectively improve the security and reliability of data circulation.
In terms of data applications, data infrastructure provides universal intelligent decision-making, auxiliary design, intelligent management and other capabilities for data applications to help data applications optimize the whole process of design, production, management, sales and service, further reduce the application threshold of data, and improve the level of digitalization. Data infrastructure should also make full use of the latest achievements of the large model of artificial intelligence, better promote the data elements to empower thousands of industries, and promote digital transformation and intelligent upgrading.
In terms of data operation, data infrastructure promotes the orderly and efficient operation of data aggregation, processing, circulation, application, trading and other functions through the coordination of a series of technical tools and rules, promotes the accurate matching of supply and demand in the data element market, and ensures the high-quality development of a series of public services such as clearing, settlement, auditing, supervision, and dispute arbitration. Effectively support the efficient allocation of various resources in the data factor market. 数字化转型网www.szhzxw.cn
In terms of data security, the data infrastructure helps participants establish a data security system through technical means such as privacy protection, encryption, data encryption, and digital identity, and promotes the formation of best practices in data compliance construction among participants throughout the whole process of the data life cycle to ensure the credibility, integrity, and security of data. Through data infrastructure and data resources in different regions and card fields, data products from different organizations in different industries can be gathered in an effective and orderly manner to achieve compliance and efficient circulation, and different participants can realize effective utilization of data resources and products, so as to promote data services across thousands of industries and integrate them deeply into social production and life. Promote the availability of data elements, flow, good use, the construction of data infrastructure and the implementation of data resources development and utilization, and jointly play a role in solving core issues such as data element property rights confirmation, income distribution, transaction circulation, and security governance.
In terms of digital economy development, data infrastructure will also have great significance for expanding the scale of the data industry, thriving the data industry ecology, and promoting the high-quality development of the digital economy. According to preliminary industry estimates, data infrastructure will attract direct investment of about 400 billion yuan per year, driving the investment scale of about 2 trillion yuan in the next five years. We will promote the creation of a new model for integrating digital and real data, and promote the high-quality development of the digital economy. The construction of data infrastructure not only requires the participation of the whole society, but also brings new development opportunities for the whole society.
The next step will be to accelerate the construction of data infrastructure. First, strengthen the top-level design and deploy in advance. The second is to prosper the industrial ecology and promote industrial technological innovation and integration. Third, carry out international cooperation to promote international data infrastructure connectivity. 数字化转型网www.szhzxw.cn
In the era of data innovation and integration, we welcome universities, research institutes and all sectors of the industrial chain to work with us to promote the continuous evolution and iteration of data infrastructure, concepts and theories, architecture systems, and core technical standards and norms, and go hand in hand to promote the construction of data infrastructure, improve data basic systems, activate the value of data elements, and write a new chapter in the development of the digital economy. Together to contribute to the development of our country’s data cause.
2. On November 25, 2023, Comrade Liu Lihong, Director of the National Data Bureau of the Global Digital Business Conference, made an important point of view
(1) The focal points of the National Data Bureau
The National Data Bureau will work from both ends of supply and demand to strengthen the traction of scene demand in several key areas such as intelligent manufacturing, commercial circulation, transportation logistics, financial services, and medical health, break through circulation barriers, improve the quality of supply, promote the combination of data elements with other elements, and give birth to new industries, new formats, new models, and application mechanisms.
(2) The important role played by digital business enterprises
At present, digital business enterprises are divided into service enterprises, application enterprises and technology enterprises. Service enterprises are engaged in data product development, release, underwriting and data asset compliance, standardization and value-added services. Application-oriented companies are engaged in the use of data to empower related industries to drive increased output and efficiency; Technology-oriented enterprises provide support for data collection, transmission and management. Data business is an important part of the data industry and plays a key role in revitalizing the value of data elements. 数字化转型网www.szhzxw.cn
Service data quotient is the “promoter” of data circulation, which promotes data movement. By exploring trusted flow technologies, we provide services such as data quality assessment, risk assessment, and compliance delivery, providing trusted links for both data supply and demand, and promoting efficient data flow.
The applied number quotient is the “converter” of data value and promotes the use of data. By providing data development and utilization tools, digital transformation services, etc., we help thousands of industries to tap data value, transform pain points into new growth points, and transform input costs into new profit sources. 数字化转型网www.szhzxw.cn
Technical data providers are the “developers” of data resources, facilitating the aggregation of data. By helping various business entities to better collect, clean, store, transmit and manage data, the data scattered in different systems and platforms can be gathered into standardized and negotiable production factors, expand data sources and improve data quality.
(3) The National Data Bureau attaches importance to the development of data quotient
In the process of promoting the market-oriented allocation of data elements, especially in enriching and improving the data basic system, promoting the construction of data infrastructure, and promoting the circulation, development and utilization of data, data quotient plays an important role and plays a key role. It is hoped that the number of companies will actively pay attention to and actively participate in the “data elements ×” action, so that the data can be obtained, flowing and used well, promote the transformation of China’s data basic resource advantages into new advantages of economic development, and promote the data to play a variety of multiplier effects in different scenarios.
(4) “Data Element X” of the National Data Bureau
Data has the characteristics of increasing returns to scale, non-competitive, low-cost replication, acting on different subjects, combined with different elements, can produce different degrees of multiplication effect. 数字化转型网www.szhzxw.cn
From the micro point of view, data acts on workers, facilitating people to learn and use advanced knowledge and technology, improving the quality of human resources, and improving labor production efficiency. Data acts on capital, can assist investment and financing decisions, and better promote financial services to the real economy; The effect of data on technology can reshape the innovation paradigm, promote the spread of advanced technology, and promote the improvement of the productivity of the whole society.
From a macro point of view, data can affect the economy, optimize the allocation of resources, promote the change of production mode, and improve the efficiency and quality of economic development. The role of data in governance can promote the innovation of government management and social governance models, and achieve scientific government decision-making, accurate social governance, and efficient public services. 数字化转型网www.szhzxw.cn
Data multiplier effect of three important performance.
The first is to achieve global optimization by “collaboration”, improve the efficiency of industrial operation, and enhance the core competitiveness of the industry. By mining effective information from data and applying it to other factors, transforming and improving the input-output efficiency of traditional factors, leading the material flow, talent flow, technology flow and capital flow with data flow, finding the “optimal solution” of enterprises, industries and industries under the constraint of factor resources, improving the total factor productivity, solving the problems that could not be solved in the past and realizing the value that could not be created in the past. For example, by opening up the manufacturing industry chain data, it can achieve efficient collaborative research and development and manufacturing of upstream and downstream parts factories and OMs in the supply chain, effectively shorten the research and development cycle, reduce supply chain costs, and create cost-effective products with higher quality and better performance.
The second is to expand the production possibility boundary by “reuse”, release new value of data, and expand new space for economic growth. A single piece of data, which can be reused by multiple entities, will create diversified value increments in different scenarios. At the same time, data is generally not lost in use, but “the more the better”, breaking the output limit under the constraints of traditional resource factors, and expanding new economic increments. For example, medical health data used in clinical diagnosis can help doctors treat diseases more accurately; It can be used in medical research and drug development, which can accelerate the market of new drugs and improve the cure rate. Applied to the medical insurance industry, it can realize customized insurance and precise pricing, and drive the upgrade of medical and health products and services. 数字化转型网www.szhzxw.cn
Third, “integration” promotes quantitative change and qualitative change, spawns new applications and new forms of business, and cultivates new driving forces for economic development. The larger the size and variety of data, the more information and knowledge will be generated, and the greater the space for creating value. After the aggregation of different types of data without different dimensions, it is also possible to cause qualitative changes from quantitative changes and obtain unexpected value. For example, in the training process of large artificial intelligence models, it is found that when the accumulation of model size and training data exceeds a critical value, there will be a performance step, and new capabilities “emerge”. The new large model application of artificial intelligence, in addition to voice data, is more integrated into image data, expanding multi-modal processing capabilities, can translate video images into natural language, provide interpretation and guidance for visually impaired users, and give birth to new application forms.
In the next step, the National Data Bureau will focus on playing the role of data factor multiplier, work with relevant departments to study and implement the “data factor x” action, work from both ends of supply and demand, strengthen the traction of scene demand, open up circulation barriers, and improve the quality of supply in several key areas such as intelligent manufacturing, business circulation, transportation logistics, financial services, and medical health. We will promote the integration of data elements with other elements to generate new industries, new forms of business, new models, new applications, and new governance. 数字化转型网www.szhzxw.cn
Second, new directions in the field of data development
1. Power point of data technology
Data convergence technologies include 5G high-speed optical fiber ipv6 next generation Internet, satellite Internet, superimposed Internet, blockchain, identification, coding and analysis; Data processing technologies include cloud computing, edge computing, distributed computing, big data processing, AI analysis, green and low-carbon, data space, privacy computing, blockchain, data desensitization, data sandbox, etc. Data application technologies include intelligent decision making, aided design, intelligent management, etc. Data operation technology includes technical tools, rules and means; Data security technology includes privacy protection, data encryption, digital identity and so on.
2. Power point of data application
Application scenarios in key fields such as intelligent manufacturing, commercial circulation, transportation and logistics, financial services, and medical health. The manufacturing industry can open up the data of the industrial chain, realize the efficient collaborative research and development and manufacturing of the upstream and downstream parts factories of the supply chain and the main engine factories, effectively shorten the research and development cycle, reduce the cost of the supply chain, and create cost-effective products with higher quality and better performance. Medical health data is used for clinical diagnosis, which can help doctors treat diseases more accurately; It can be used in medical research and drug development, which can accelerate the market of new drugs and improve the cure rate. Applied to the medical insurance industry, it can realize customized insurance and precise pricing, and drive the upgrade of medical and health products and services. The new large model application of artificial intelligence, in addition to voice data, is more integrated into image data, expanding multi-modal processing capabilities, can translate video images into natural language, provide interpretation and guidance for visually impaired users, and give birth to new application forms.
3. Power points of three types of number quotients
Service providers provide data quality assessment, risk assessment, compliance delivery, etc. Application-oriented data providers provide data development and utilization tools, digital transformation services, etc. Technical data providers provide data acquisition, cleaning, storage, transmission and management.
4. The power point of the basic system
First, data infrastructure, conceptual theory, architecture system, core technical standards and specifications; The second is the basic system of data element property right confirmation, income distribution, transaction circulation, security governance and so on.
5. The power point of data value
Facilitate people to learn and use advanced knowledge and technology, improve the quality of human resources, improve labor production efficiency; Assist investment and financing decisions to better promote financial services to the real economy; Reshape the innovation paradigm, promote the spread of advanced technologies, and promote the productivity of the whole society. Optimize the allocation of resources, promote the change of production mode, and improve the efficiency and quality of economic development; We will promote innovation in government management and social governance models, and make government decision-making scientific, social governance precise, and public services efficient.
Third, the construction of new models of data governance
Traditional data governance focuses more on data management at the organizational level, that is, the way and ability to manage data within an organization. In the new situation of the digital economy society and the circulation of data elements, data governance must innovate ideas, break through the boundaries of organizations, and conduct governance in a wider scope. The flow of data goes through internal loops within the enterprise, external loops across organizations, and larger loops across countries. The characteristics of data itself also determine that data is not tangible and concrete like physical assets, but virtual and illusory. Value is determined by quality, sensitivity is determined by convergence, and circulation is determined by demand. These factors influence each other. Therefore, data governance in the new situation should not only consider governance within the organization, but also consider the governance of the entire society and the entire world. The construction of data governance standards and systems suitable for the big ecology has become the key issue that data governance personnel need to consider. 数字化转型网www.szhzxw.cn
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