An enterprise management method with deep learning and semantic recognition and analysis functions

Abstract

The invention discloses an enterprise management method with deep learning and semantic recognition and analysis functions. The method comprises the following steps that an enterprise APP is logged in, a background server obtains personal information, the enterprise APP is logged in, the method comprises the following steps that the personal information is input and sent to the background server,and the personal information comprises position information, professional information and task information. The invention discloses an enterprise management method with deep learning and semantic recognition and analysis functions. firstly, the improvement of the personal ability can be better promoted; meanwhile, the cohesion of an enterprise is improved; the personal ability is affirmative; secondly, the reasonable planning of the personal ability is combined with the planning of the enterprise, so that the development of the enterprise can be improved while the personal ability is promoted,the development of relevant abilities of the enterprise can be promoted, the growth of the enterprise can be synchronously promoted, the win-win situation of mutual benefit can be realized, and a better use prospect can be brought.

Description

technical field [0001] The invention relates to the field of enterprise management, in particular to an enterprise management method with deep learning and semantic recognition and analysis. Background technique [0002] Enterprise management, which is the general term for a series of functions such as organizing, planning, commanding, supervising and regulating the production and operation activities of the enterprise. As the soul of the enterprise, the enterprise owner, CEO and senior management team have a considerable level of organizational leadership and management Ability is the most important thing in enterprise management, and financial management is one of the most important contents of enterprise management; [0003] The existing enterprise management methods have certain disadvantages when used. (1) Due to the large size of the enterprise, it is difficult to know the abilities of all employees in a timely manner. Individual abilities can only be judged through va...

AI Technical Summary

Problems solved by technology

[0003] The existing enterprise management methods have certain disadvantages when used. (1) Due to the large size of the enterprise, it is difficult to know the abilities of all employees in a timely manner. Individual abilities can only be judged through various certificates. At the same time, the enterprise can only use Setting up study classes to improve workers’ ability, this process requires a lot of manpower and financial expenditure, which affects work progress, and everyone’s learning ability is different, so it is difficult to achieve unity. It cannot be reused in time, which affects the rational use of human resources; (2), the existing corporate decisions are made through the management, but the management personnel cannot timely understand the changes in market demand for products, etc., while the existing The market information collection method is only through questionnaires. This management method has great instability. At the same time, it is not time-sensitive and pertinent. The data results obtained are often not of high reference value for enterprise production. Therefore, We propose an enterprise management method with deep learning and semantic recognition and analysis

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