Throughout the world, big data has formed an industrial scale and has risen to the national strategic level, and big data technology and applications have developed in depth. Cloud computing technology and big data computing framework for big data are constantly introduced, and a large number of new big data mining methods and algorithms are constantly emerging. New models and new formats of big data emerge one after another, and traditional industries begin to use big data to achieve transformation and upgrading. The development of artificial intelligence, deep learning, industrial Internet of Things, virtual reality, smart cities and other fields has promoted the application and popularization of big data. Emerging industries and traditional industries have formed traditional industry data platforms, Internet data platforms and industry information data platforms around the data service system. A new generation of data service enterprises based on data application not only promotes the development of their main business, but also promotes the development of small and medium-sized enterprises in the industry.
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Industrial Environment Analysis of Big Data Development
American policy level has made efforts to promote the development of big data applications. The government has launched a series of open data plans to open data and information in the fields of health, energy, climate, education, finance, public safety and so on, so as to promote breakthroughs in innovation and further promote economic development. The United States is committed to expanding the scope of federal data disclosure and users, especially high-value data assets, and exploring how to further expand the collection and analysis of data related to industrial competition and innovation.
In order to further tap the application potential of federal government data and promote innovation and social progress, the US Department of Commerce has launched the Data Accessibility Program (CDUP) to make government data easier to use. In May, the White House released the federal big data R&D strategic plan, listing seven strategic plans for future big data R&D, aiming at establishing an innovative ecosystem of big data, strengthening data analysis capabilities, and extracting effective information from a large number of diverse and real-time databases to serve scientific research, economic growth and national security. In 20 16, the application of big data to predict elections in the United States also attracted the attention of the world. The application of big data began to attract the attention of the general public, and the authenticity and security of data became the focus of attention.
Britain actively promotes the construction of big data platform based on data sharing. A new Hartree Big Data Center will be built with an investment of1.1.300 million. Turing Institute in Allen was newly established, with an investment of 42 million pounds to carry out research on big data science and technology. Invested 654.38+0.5 billion pounds to establish the first national institute of Alzheimer's disease. Establish a new mathematical research center to deal with major diseases. Britain has set up the Big Data Strategy Committee, published the White Paper on Open Data Strategy, unified the government digital platform, opened open data channels for government departments, set up a data open incentive fund, and will also issue a special regulation on General Principles of Data Protection in 20 18, aiming at developing and utilizing data resources to generate greater commercial value and economic growth.
Sweden launched the National Key Scientific Research Program (NFP) Big Data Project (NFP75). It was officially launched in 20 17, with a planned investment of 250 million Swiss francs, with a term of four years from 20 17 to 2020. The project is mainly divided into three boards: big data information technology: basic research of big data analysis, big data infrastructure, database and computing center; Social and legal issues related to big data: big data involves the prediction of the impact on social and economic development (such as the impact on trade, business model, personnel transportation and logistics), the protection of personal privacy and space, and related social ethics and legal issues and countermeasures; Big data application: Carry out basic research on the application of big data in transportation, health, disaster and social risk control, energy conversion and other fields. Switzerland's national key scientific research plan is launched by the Swiss federal government, aiming at conducting basic research on important areas related to the overall social and economic development of Switzerland, and putting forward countermeasures and suggestions.
Local governments in China actively create an environment for the development of big data. 20 14 and 20 15, "big data" was written into the national government work report for the first time. At the two sessions held on March 5th, 20 15, Premier Li mentioned in the government work report that the "internet plus" action plan should be formulated to promote the integration of mobile Internet, cloud computing, big data and Internet of Things with modern manufacturing, promote the healthy development of e-commerce, industrial Internet and Internet finance, and guide Internet enterprises to expand the international market.
At present, the draft National Big Data Strategy and Action Outline (20 15-2025) has been completed. The National Natural Science Foundation of China and the Ministry of Science and Technology supported a large number of big data research projects; Beijing, Shanghai, Tianjin, Chongqing, Guangdong, Guizhou and other provinces have formulated big data development plans and started to build data industry bases in many places. Tianjin plans to build a national data gathering area and jointly build a "Beijing-Tianjin-Hebei Big Data Corridor" with Beijing and Hebei; Chongqing plans to cultivate big data into an important strategic emerging industry and accelerate the construction of Liangjiang Cloud Computing Industrial Park. Xixian New Area, Shaanxi, Wuhan Optics Valley, Hubei, Gui 'an New District, Guizhou and other places proposed to set up a national big data base.
Shanghai establishes data trading center. 2065438+On April 1 day, 2006, Shanghai Data Exchange Center was established. Shanghai Data Trading Center is a state-owned mixed-ownership enterprise approved by Shanghai Municipal People's Government and jointly approved by Shanghai Economic and Information Commission and Shanghai Municipal Commission of Commerce. It is responsible for promoting the circulation of commercial data, inter-regional institutional cooperation and data interconnection, and the integration and application of public data and commercial data. With the leading dual structure of "technology+rules" in China, the trading center innovatively combines the six-element technology of IKVLTP, adopts the virtual identification technology of independent intellectual property rights and the secondary encrypted data distribution technology, and combines the trading rules oriented to application scenarios, which will promote the data aggregation flow on the premise of fully protecting personal privacy and data security.
Focusing on the integration of resources, technology, industry, application and security, Shanghai will focus on the improvement of government governance and public service capabilities and the transformation of economic development mode, innovate the ecological development layout of the five-in-one big data industry chain of "trading institutions+innovation bases+industrial funds+development alliances+research centers", and strive to build a national data science center, an Asia-Pacific data exchange center and the world.
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Industry demand forecast of big data industry
Enterprise demand
Big data transformation of traditional enterprises. With the continuous advancement of the Internet, many traditional enterprises are facing a series of problems while changing users' consumption habits, one of which is the utilization of existing data and the collection of user data. For the effective use of data, many traditional enterprises have tried to use and analyze it, and gradually combined with the Internet platform to form a closed loop of data. Real estate, manufacturing and financial enterprises have gradually established Internet sales platforms. In fact, the platform itself is not to increase product sales, but to effectively manage the information of traditional business outlets and sales channels through the platform, so as to establish data for judgment or analysis.
Better absorb the potential needs of customers and adapt to market changes faster, thus driving the emergence or transformation of a new round of research and development. The growth point, marketization degree and enterprise nature of such enterprises will be different from those of traditional enterprises, and they will embark on the road of new formats and new models. Including car networking, internet finance, car e-commerce, and real estate e-commerce, there have been signs. For the development of big data industry, the transformation of traditional enterprises is an important part that is different from other fields but unique.
Big data strategy of platform enterprises. For areas with relatively little IT investment and weak IT foundation, such as retail, catering, clothing, agriculture, publishing and other industries, enterprises will not build their own cloud computing and big data platforms, but rely on specialized data service enterprises or data service platforms to meet the needs of data analysis. The original intention of the industry data service platform architecture is mainly to solve the information construction and operation and maintenance needs of the above industries through cloud services.
At present, there are many similar industry data platforms in Shanghai, such as Zhuxiang.com in the construction industry and angeli in the pharmaceutical industry, all of which are highly professional in the vertical field of the industry. Moreover, compared with common and universal platforms, the development of such platforms is more in line with the development of the industry and is a very important part of the development of the big data industry.
Large-scale development of big data in Internet enterprises. Internet media is an industry that promotes enterprises to access big data services faster. The media has changed from the traditional one-way passive mode to the two-way interactive mode, which not only attracts user groups, but also promotes precise marketing by defining user portraits. Precision marketing allows enterprises to enjoy the most affordable effects brought by new media, and also brings more specific data analysis reports to enterprises than traditional media.
Similarly, in the field of Internet, whether it is social platform, group purchase or mobile application, it is very important to collect, summarize and analyze data in the process of building its Internet platform. By identifying user groups with different ages, genders and hobbies, we can accurately locate and push different messages. Behind these precise positioning are tens or even hundreds of terabytes of data growth and analysis every day. It can be said that the Internet has promoted the development of the big data industry.
Hot spot related field requirements
Financial big data. China's financial information service industry has the characteristics of wide industrial chain distribution and huge market space, but at the same time it shows a very low industrial concentration. So there will be a lot of mergers and acquisitions in the future, and finally there will be several huge IT service organizations. Traditional financial services have incomparable advantages in human resources, market ability, technology, R&D, etc., and the industrial environment and supporting resources are very mature.
In the financial information service industry chain, there are already exchanges of securities, futures, financial futures and technology, as well as exchanges of various means of production such as steel and nonferrous metals. There are a large number of leading enterprises with industry representativeness such as An Shuo Information, wind Information, Kingstar, UnionPay, Pulan Finance, Chunyu Supply Chain, and a number of companies with big data technology and resource integration capabilities represented by Jingwei. The database construction in the financial field is relatively perfect, all of which are structured data. With the intervention of emerging technologies such as artificial intelligence and deep learning, big data will show a promising trend, and the demand for results based on big data analysis will become more and more vigorous.
Traffic big data. One is intelligent transportation, which realizes distribution tracking, workflow supervision and human resource management on the basis of traffic and environmental information. In ITS, if a vehicle uses this application, it can monitor relevant data. Cios in smart cities can use to obtain information about traffic and traffic processes from the Internet of Things information base. This will greatly improve traffic and establish a service-oriented payment method, rather than a simple payment procedure, such as a time-based charging system.
The core value of a smart city is to establish basic policies that are beneficial to citizens according to traffic data. Intelligent transportation has also produced many new business innovations. The second is automatic driving. At present, Google has achieved driverless driving with the help of big data and in-vehicle technology and sensors, as well as advanced driver assistance systems, software, map data, GPS and wireless communication data. It is foreseeable that in the near future, the application of big data in the field of autonomous driving will be more and more optimistic.
New media, big data. The new media led by big data has subverted several traditional foreign media, such as the closed Newsweek in the United States and the collapse of the largest paper media in Germany after the war. Traditional media display advertising based on eyeball economy has rapidly changed to online media accurate advertising based on data. The integration of bestv and Oriental Pearl has created the largest media listed company in China. He has rich experience in R&D and massive data processing applications in the fields of telecommunications, broadcasting and Internet. The technologies used include distributed computing, massive data processing, stream computing, machine learning and neural network, focusing on Internet advertising technology, effect monitoring, target audience behavior analysis and accurate segmentation, and intelligent advertising matching. In the next few years, new media big data will be more and more sought after by the industry.
Make big data. Use big data to promote the deep integration of informatization and industrialization, research and promote the application of big data in R&D, design, manufacturing, operation and management, marketing, after-sales service and other industrial chains, develop big data analysis application platforms for different industries and different links, select typical enterprises, key industries and key regions to carry out pilot projects of big data application in industrial enterprises, and actively promote the networking and intelligence of manufacturing. In recent years, from the state to local governments, more and more attention has been paid to the application of big data in manufacturing, especially high-end intelligent manufacturing, such as Made in China 2025. In this sense, big data has great potential in the manufacturing industry, and there is a lot of room and room for release.
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Predict the investment prospect of big data
Emerging fields such as artificial intelligence have great value potential.
Intelligent field and smart city construction. The field where big data intersects with deep learning and artificial intelligence has become the focus of capital pursuit. For example, Japan proposes to build a super-intelligent society and realize the deep integration and application of ICT technology in the whole society. Japan's fifth science and technology plan proposes to build a society 5.0 (super intelligent society). Based on the ICT technology represented by artificial intelligence, Internet of Things, and big data, we will develop advanced technologies such as robots, supercomputers, sensors, and high-speed communication to realize a network physical system with a high degree of integration of cyberspace and real space, and use big data to promote social life. All fields are highly intelligent and promote economic development and social progress. The proposal of super-intelligent society in Japan has attracted the attention of many big data companies and venture capitalists. Similarly, big data will play an important role in the cross-application of emerging technologies in the construction of smart cities that are being vigorously promoted throughout China. The integration of big data with smart transportation, environmental protection, people's livelihood safety and other fields, driven by artificial intelligence and deep learning, has unlimited business opportunities for big data applications.
Support sharing economic intelligence platform is optimistic
The sharing economy has risen in a short time and become a global phenomenon, with an exponential growth in scale and influence. 20 14, 14 In February, PricewaterhouseCoopers released a forecast report that the scale of the global sharing economy will increase from 1500 million US dollars in 20 15 years to 335 billion US dollars in 2025. Under the background of global economic recovery, the novelty and huge development potential of the sharing economy model are highly supported by governments all over the world, and even promoted to the height of national strategy. Big data, cloud computing and artificial intelligence will build intelligent platforms to support the sharing economy, and these platforms will show their economic value more and more, so that strangers with different needs can be connected flexibly, conveniently, timely, safely and economically, so that in the new model of sharing economy, big data plays a central role and occupies a core position, and its value is self-evident.