"Digitalization", simply understood, is the organic integration of digitalization and intelligence. As mentioned above, digitalization gathers a large amount of data, forming a mapping from the physical world to the virtual world, intelligently analyzing a large amount of data, and providing intelligent application services for problem solving and decision support. In McKinsey's view, the so-called "big data" is a new technology for collecting, storing and analyzing ultra-large-scale data. However, the connotation of these new technologies has gone far beyond the traditional technical category.

From a technical point of view, digital intelligence needs to make full use of the new generation of information technology (including cloud computing, big data, artificial intelligence, 5G, blockchain, etc.). ), which constitutes a new digital infrastructure for digital intelligence construction; From the business level, it is necessary to optimize business process reengineering, reconstruct business operation management system, improve collaborative disposal mechanism, establish data standards and norms, define data asset catalogue, integrate data resource system and strengthen data asset management; From the security point of view, it is necessary to establish corresponding data security management and personal information protection systems, and strengthen the dynamic monitoring of data operation and use in the whole network of "end-side cloud network security" (intelligent terminal, edge computing, cloud computing, network and security guarantee); From the point of view of intelligence, it is necessary to strengthen the development of vertical application algorithm and the construction of public service algorithm center for fine-grained problem scenarios in the industry, fully tap data intelligence, and provide agile services for intelligent applications.