Data becomes a connector, providing greater efficiency for digital transformation

Recently, Huang Daiheng, vice president of Minglue Technology, said in an interview with Xinhuanet that from digital industrialization to industrial digitization, while the digital industry is further developing, it is necessary to empower various industries through digital transformation.

Data becomes a connector, providing greater efficiency for digital transformation

Data can have a transparent effect on business processes and related subjects and objects. Once the data is transparent, it means being analyzed and monitored. Therefore, for complex systems such as the government and large state-owned enterprises, digital transformation is a typical “top leader” project that requires great determination and perseverance.

Based on practical cases, Minglue Technology has proposed a four-step digital transformation path, namely data online, analysis and insight, knowledge accumulation and intelligent decision-making. Digital transformation must first complete data online, collect data through information systems, text, voice, and video recognition, and Internet of Things technologies, open up data, and make business online. Huang Daiheng believes that data, as a core production factor in the future, will become the core of urban digital reform. Data becomes a connector, connecting other factors of production, including land, labor, capital, and technology, to collide with greater efficiency.

In the wave of digital transformation, companies need the ability to analyze insights and form a closed loop. Unlike traditional BI, which can only perform two-dimensional analysis, exploratory analysis with knowledge graphs as the core can perform high-dimensional analysis, find out the laws between data, and discover the value of data, so as to meet the sustainability of complex organisms such as enterprises or cities. Changing needs. In the process of continuous exploration and analysis, through continuous knowledge accumulation, the degree of intelligence of the system is improved, and intelligent decision-making in different dimensions can be formed based on the linkage and analysis of information in the data center.

Huang Daiheng believes that there are two strategies for urban digital construction. One is bottom-up, which requires infrastructure and data aggregation to support various applications; the other is top-down, where data scenarios are first determined, and then all A combination of information foundation and technology is required. In practice, a dynamic combination of two strategies is often used. In the face of the “super-complex system” of the government, Minglue Technology can provide a platform for data sharing and aggregation and in-depth processing to strengthen the connection between data and business, and provide services such as data-based statistical analysis, intelligent prediction, and intelligent recommendation for business. Support and realize the development of the centralization of digital cities.

Build a data bridge, relying on new infrastructure to empower the digital economy to evolve forward

Huang Daiheng believes that technological innovation is a process of continuous experimentation and self-iteration. Enterprises are like bridges, relying on cutting-edge technology to get through traditional cumbersome management and business problems, and integrate various resources of production, education and research to bring benefits in practical applications.

With the accelerated implementation of the “new infrastructure” plan, the era of the Internet of Everything is coming. Huang Daiheng said that the biggest difference between “new infrastructure” and traditional infrastructure is the use of information flow to drive logistics and energy flow. Its core theory is to use data to reconstruct and simulate the physical world, establish state analysis, supply and demand matching, and predictive scheduling models, which are more efficient. Earth drives the flow of resources. Business digitization will become the norm for enterprises. Processing multi-source heterogeneous massive data, analyzing and empowering business will become a rigid demand, and these data will also need to be converted into experience knowledge for precipitation. Data and knowledge will become a new engine for business growth, and global data processing and analysis capabilities will be a new driving force for business growth.

5G as an infrastructure, the application of data from the bottom, including the application of artificial intelligence in related fields, will produce qualitative changes. The main guide is that the acquisition of new types of data sources will be more robust and robust, and there will be many The emergence of new data sources. Huang Daiheng said that with the further use of 5G, in the rail transit and power industries, many small current signals and machine operation signals can be transmitted, and more text, audio and video information can also be analyzed by using artificial intelligence technology.

Under the new development pattern of “dual cycle”, it is imperative for governments and enterprises to maintain their competitive advantages through digital transformation.

Regarding the future of digital transformation, Huang Daiheng believes that the government will comprehensively promote the production factors of people, finances, materials, policies and data. People refer to talents, and regional development is closely related to talent introduction policies and local university resources; finance refers to the integration of industry and finance. In the digital transformation, start-ups need financial services such as financing, combined with the analysis of operating data, can efficiently realize resource allocation; Refers to the material flow of supply, sales, marketing and other channels, including the use of resources such as energy and land, through digitalization to improve quality and efficiency; policies refer to the government’s need to provide various policy assistance; data as a new production factor contains business Value requires a balance between data security and efficiency in practice and continuous evolution.


Post time: Jan-12-2021