Xinhuanet Beijing on August 4 (reporter Chen rain LingJiWei) in recent years, continuous innovation and development of hot big data technology, mobile information service enterprise demand for big data presents the explosive growth. At the same time, by 2020, 5G networks will be officially commercially available. Mobile communication industry is entering the age of 5G. What wealth can big data technology bring to the industry? What are the challenges for mobile communication enterprises in the application of big data technology? How to excavate data, create value and realize win-win situation in the age of 5G?
Recently, xinhua's interview with the Beijing university of posts and telecommunications network intelligent distinguished professor, director of the center, the ministry of education "cheung kong scholars" doctoral tutor jian-xin liao, read 5 g era, big data technology for mobile communication industry, the opportunities and challenges.
Big data can create greater value for the mobile industry
The big data industry is known as the "gold mine of the 21st century", and all industries are prepared to be in the big data industry. Mr Liao said he was very optimistic about the application of big data technologies in mobile messaging services, and that "big data can create greater value for mobile messaging services".
Mobile information service enterprises as an important participant, the Internet industry have terminals, pipelines, billing, and other Internet companies do not have the unique data assets, data operation and open ability has become a diversified development the inevitable trend of operators.
Jian-xin liao, points out that as the data scale is more and more big, the complexity is higher and higher, it is only through large powerful data processing capabilities, data mining, machine learning, such as technology, can make full use of the advantage of operators, the fusion data assets, realize the better data service, has promoted the value
and implement the data sharing.
He said that mobile communication information service enterprises have started to build big data application platforms based on big data key technologies, mainly in two aspects. First, it is to provide the data service for the enterprise, provide operation support service for daily operation based on the big data mining result, realize the intelligent operation inside the enterprise, and improve the operation efficiency of the enterprise.
Followed by foreign open data and data capacity, based on the technology of data, data fusion mobile information service enterprise itself and industry data, information intelligence service, the traditional industries for education, health care, finance, traffic, games, tourism, public security and other fields to provide data service application platform.
Mobile communication enterprises are facing challenges in applying big data technology
In recent years, mobile information service enterprises in the fine operation, personalized precision marketing, intelligent recommendation, product optimization and innovation, industry cooperation and open, enterprise data management demand for big data presents the explosive growth.
Jian-xin liao believes that mobile information service enterprise, big data, the key technology in big data platform service, large data management ability, large data operational support effect, large data open mode also put forward higher request, the original technical architecture and support, it is necessary to breakthrough the model needs to be built to adapt to the development of the "Internet +", the data of cross-domain integration, architecture, fully open big data technology, advanced technology and large data service platform. "How to use data of production and technology of data gathering, organizing and management, analysis and discovery, applications and services, mobile information service enterprises is the core of the technology of large data points."
He pointed out that the application of big data technology in mobile communication information service enterprises mainly faces the following challenges. Firstly, various business application scenarios have higher requirements for the complexity and novelty of big data technology. Big data technologies need to be able to quickly implement data integration and data asset management, provide flexible open service capabilities, and support diversified application requirements.
Secondly, big data technology, especially open source technology, is still inadequate for the complete adaptation of enterprises' operational requirements. In use, it is necessary to further customize the development according to the company's own situation. However, due to the complexity of the enterprise's data structure, some non-technical factors need to be considered in the process, such as the support of the participating parties of the big data platform and the cooperation of relevant components.
Third, as the amount of data is increasing over time, computing and storage consumption are increasing, and big data platforms must have smooth and scalable capabilities without affecting existing business conditions.
In addition, from the perspective of investment cost, the introduction of corresponding big data technology needs to meet the requirements of massive data processing and reduce the cost of investment.
The big data of 5G is changing from technological innovation to application innovation
5 g network is an innovation revolution, human society has entered the "moving cloud" wisdom, age, big data, artificial intelligence, the combination of mobile Internet and cloud computing more and more close, for the mobile communications industry has brought the change beyond imagination.
Jian-xin liao believes that the use of information communication technology and the Internet platform, the Internet and traditional industries in-depth integration, promote the mobile Internet, cloud computing, big data such as a new generation of information technology and intelligence service technology research and development. Thinking, at the same time, based on the Internet and education, health care, finance, transportation, tourism, public security and other fields, set up open, interactive and participation, the integration of new service platform, promote the transformation and upgrading of traditional industry, is an important goal of "moving cloud" wisdom, age.
He pointed out that as the technical barriers of big data become less and less, the trend of big data to shift from technological innovation to applied innovation begins to emerge. Big data has penetrated into the education, health care, finance, transport, tourism and other fields, and application technology of data will become one of the strategic asset in every field, master more data, means for more potential value.