Using large data to drive innovation and development

In the large data age, how to use the data resources to transform the economic growth mode, to help push the innovation drive development, to make it serve the personal life, the enterprise decision-making and the national governance, is an important strategic subject worth pondering. Large data not only means massive, diverse, fast data processing, but also a subversive way of thinking, an intelligent infrastructure, an innovative technological change. We embrace large data at the same time, we can "cloud-chain-end" framework for the development and utilization of "cloud" computing, "chain" construction and "end" innovation, so that large data really bring large industries, big opportunities and large dividends.

Cloud calculation. Cloud is a large data processing center, cloud computing can effectively integrate information and industrialization, so that production efficiency has been greatly improved. With the cloud, the industrial age of "big" data into the internet era of large data. Cloud computing and big data are like the two wheels of a car, the wings of a bird-cloud computing is the driving force for big data growth, and big data needs to be implemented in cloud computing. Moore's law reveals the rapid development of hardware, storage and computing capabilities are not the main constraints of information technology progress, new bottlenecks are moving to the data. The data not only reflects the objective state of things, but also contains the law of the development of things. This rule governs the development of the whole society, once mastered, can grasp the pulse of society and even predict the future. More and more natural and social data can be analyzed and solved by the calculation of quantitative methods. From a global perspective, "quantitative decision-making" and "data governance" has become a general trend. At present, we should learn from "qualitative" to "qualitative and quantitative combination" in the journey of realizing the Chinese dream, and set up the management idea based on data, fact and rational analysis. From a strategic point of view, cloud computing should focus on 3d printing, artificial intelligence and other emerging areas, so that large data-assisted scientific research, grasp a new round of scientific and technological revolution and the development of industrial change opportunities.

"Chain" construction. Chain is the infrastructure of large data, we should construct the link to build the interconnection of cloud to cloud, cloud to end and end-to-end, realize data sharing and efficient utilization in different levels of application fields. Large data links As with interactive induction, relay transmission of intelligent networks, can integrate the "islands of Information" and "Application Islands", so that each networked terminal incarnation data battlefield commanders. Today, data has become a strategic resource like energy and mineral resources, followed by data security and privacy issues, especially the "cloud-chain-end" joint defense. In order to avoid the risk of data leakage, we should base on the large data technology and platform, actively support and guide enterprises to increase research and development, strive to break through the core technology, and gradually improve the autonomous controllable level of key facilities. At the same time, the "Data ownership" and "data privacy" to establish legislation or standards, through the law to protect the data security of citizens and countries. With the development of large data, data transmission will evolve toward the direction of high speed, large capacity, integration and system. In the process of construction, we should make good interoperability standards, realize the cooperative development of various facilities, and reserve the interface for future upgrades and expansion.

"End" innovation. The end is the innovation direction of the big data, it is necessary to innovate the data acquisition method of the terminal, to verify the credibility of the quweicunzhen, and to open the data to the terminal as far as possible and to push the innovation application of the terminal. From the market point of view, we should develop intelligent terminals and explore new business models. At present, the main reason why the enterprise cannot apply the big data deeply is that it does not stimulate the benign interaction between the data and the business scene. Should let the demand and technology real-time, dynamic, economic docking, so that users become large data providers and beneficiaries, realize the operation and use of iterative closed-loop operation. Compared with enterprises, the Government has a natural advantage in data, and it cannot only act as "Mr. Zhangfang" of data. We should awaken the valid data in the file bag and memory, and provide a reliable basis for scientific policy formulation and rational allocation of resources. The 18-session plenary of the Party put forward the modernization of national governance system and governance ability, which requires the government department to change the traditional way of thinking, activate the unused data, apply it to all aspects of economic society, and promote the technological innovation, management innovation and service Innovation of government public service. Should break the division state of departmental data, integrate data resources to form resultant force, open all kinds of data to the public in a variety of forms, and realize large data from the masses to the masses.