To do a good job in the training of industrial Internet talents, it is necessary to make clear the characteristics of industrial Internet. It is not difficult to find that the development of the industrial Internet is a long-term, arduous and complex systematic project, which extensively connects various organizations and individuals, including manufacturers, suppliers, distributors, governments, service providers, social organizations and users. This kind of organization form, through the whole process of value creation with data, realizes symbiosis, regeneration and mutuality, finally transcends the category of industrial organization, creates a new value cycle for a wider range of social system, and becomes an innovation paradigm of digital transformation. It can be said that the industrial Internet is characterized by scene innovation, technology integration and rich collaboration, and has high requirements for connectivity, data capability and technology landing capability. To translate these characteristics into specific production applications, in the final analysis, and high quality human capital is inseparable.
In view of this, from the government, industry, enterprise level, multi-angle policy, complement the industrial Internet talent shortboard.
From the perspective of the government, it is necessary to first study the matching degree of the existing talent reserve in the region and the trend of digital transformation, and introduce and cultivate talents in different levels and categories. In order to conform to the trend of digital transformation, the government takes industrial digitalization and digital industrialization as the new development direction. Before focusing on promoting the digital transformation and upgrading of regional advantageous industries, it is necessary to evaluate the talent base and talent planning within the region to see whether it can adapt to the digital transformation. As far as the current situation is concerned, talents in most regions still do not possess the new skill sets required for digital transformation, and it is difficult to meet the needs of digital transformation and upgrading of regional industries. After studying the matching degree between the existing talent reserve and the trend of digital transformation in the region, the talent weaknesses in the region can be identified. For different types of talents, the introduction and training policies should be put forward to meet the needs of talents and enhance the attractiveness of regional talents.
From the perspective of industry, we should speed up the cultivation of common talents in the way of industry-university-research collaboration. The training of new technical talents requires the combination of internal and external resources, the integration of theoretical education and practical education, and the establishment of knowledge and experience sharing platform. In these aspects, the industry has the natural advantages of building an industry-university-research exchange platform and a training platform for generic technical personnel. Industrial associations, industrial alliances and science and technology parks should play their due roles based on their own industrial characteristics and needs. Taking the field of industrial robots as an example, it is necessary to strengthen the cooperation between enterprises and vocational colleges to jointly train application talents with skills such as on-site programming, installation and debugging of robots.
From the perspective of enterprises, they should have the awareness of talents, fully enhance the strength of personnel training, and actively promote the digital transformation. The introduction of industrial Internet technology by enterprises is not only the introduction of equipment, system and data model, but also the introduction of the mode and process of training multi-level compound talents. In the production layer, it is necessary to cultivate comprehensive talents who understand both production technology and information technology. In the application layer, it is necessary to cultivate talents who understand both production and operation, data analysis and artificial intelligence application. At the business level, it is necessary to cultivate strategic talents who have strategic thinking and are well versed in production operation and digital analysis application.
