scholarly journals On the logic and framework of enterprise management reform in the era of artificial intelligence

2021 ◽  
Vol 275 ◽  
pp. 03074
Author(s):  
Ciwen Pang
Keyword(s):  
Artificial Intelligence ◽  
Science And Technology ◽  
Development Trend ◽  
Enterprise Management ◽  
Logical Framework ◽  
Chinese Enterprises ◽  
Management Reform ◽  
Important Trend ◽  
Artificial Intelligence Technology ◽  
The Development Trend

With the development of science and technology, artificial intelligence technology is gradually improving. At present, artificial intelligence has become an important trend in the development of science and technology. The emergence of the era of artificial intelligence brings great opportunities and challenges to enterprises. Under the background of artificial intelligence, the personnel composition and working mode of enterprises will also change greatly, which means that the management mode of enterprises also needs to be changed accordingly. Based on this, starting from the development trend of artificial intelligence, this paper analyzes the logical framework of enterprise management reform in the era of artificial intelligence, hoping to provide some reference for enterprise management, so as to promote the development of Chinese enterprises in the era of artificial intelligence.

scholarly journals Research Progress and Application of Computer Artificial Intelligence Technology

2018 ◽  
Vol 176 ◽  
pp. 01043 ◽  
Author(s):  
Jin Wei
Keyword(s):  
Artificial Intelligence ◽  
Rapid Development ◽  
Science And Technology ◽  
Development Trend ◽  
Concept Development ◽  
Research Progress ◽  
Huge Amount ◽  
Development History ◽  
Artificial Intelligence Technology ◽  
Major Application

With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially after the deepening of the layout of science and technology and manufacturing industries, the scale of artificial intelligence industry is further developed. More artificial intelligence products will appear at the same time. From the perspective of the concept, development history and new progress of artificial intelligence, this paper combines China’s artificial intelligence market and the development of artificial intelligence companies to analyze the current major application areas, and then further explore the future development trend of artificial intelligence.

scholarly journals Uncertain Risk Assessment of Knowledge Management: Based on Set Pair Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Guibin Yang ◽  
Hongyu Gao
Keyword(s):  
Knowledge Management ◽  
Evaluation Model ◽  
Development Trend ◽  
Enterprise Management ◽  
Set Pair Analysis ◽  
Chinese Enterprises ◽  
Connection Number ◽  
Provide Decision Support ◽  
The Development Trend ◽  
Pair Analysis

Since the knowledge resource becomes an important part of enterprise resources, the knowledge management risks could significantly affect the enterprise operation efficiency. Controlling knowledge management risks is one of the enterprise management tasks; the managers and researchers focus on how to effectively evaluate the risks. This paper aims to solve this problem and puts forward an evaluation model of the uncertain risks of knowledge management. Based on set pair theory, a model is established to identify the knowledge management risk. Through the concept of connection number, knowledge management risk is divided into five levels. Meanwhile, the development trend of knowledge management risk is classified into same tendency, equal tendency, and contrary tendency by the concept of set pair theory. The application of this model is empirically verified with Chinese enterprises. Through both static and dynamic evaluations of the knowledge management risk, this paper can effectively analyze risk development trend and provide decision support for the enterprise manager about the uncertain risks of knowledge management.

Application Status and Prospect of Computer in Accounting

2014 ◽  
Vol 513-517 ◽  
pp. 2178-2181
Author(s):  
Xiao Fan
Keyword(s):  
Financial Management ◽  
Integrated Management ◽  
Development Trend ◽  
Financial Accounting ◽  
Enterprise Management ◽  
Socialist Market Economy ◽  
Erp System ◽  
Accounting Management ◽  
The Development Trend ◽  
Socialist Market

On the basis of the thought and target of adaptation on the socialist market economy reform and development, this paper discusses the problems about how to develop out domestic accounting computerization with the purpose of complying with the development trend of nowadays network times. ERP system reflects the advanced financial accounting, management accounting and cost management thought. It can meet the diversified information demands of the information users. The financial system in ERP is integrated, management and decision oriented. It realizes the transformation from the reflection on the financial information after the event to the real-time support on the financial management and decision making, and from the closed single financial management to the integrated comprehensive enterprise management. Therefore, ERP system will be the inexorable trend of our domestic accounting computerization development.

scholarly journals Application and Development of Computer Artificial Intelligence Technology

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Daily Life ◽  
Science And Technology ◽  
Modern Society ◽  
Internet Technology ◽  
Tertiary Industry ◽  
The People ◽  
Artificial Intelligence Technology ◽  
Applied Artificial Intelligence

In the development of modern society, Internet technology has been popularized and applied. Artificial intelligence technology is not only found in science fiction movies, but has been widely used in industry, tertiary industry and people’s livelihood. Under the background of rapid advancement of science and technology, computer artificial intelligence technology will play an important role in the future. Due to a series of problems in the development of computer artificial intelligence technology, it is necessary for relevant personnel to strengthen research on the application and development of computer artificial intelligence technology. The paper mainly studies the application and development of computer artificial intelligence technology, and hopes to bring more convenience to the daily life of the people.

scholarly journals Review on the Application of Metalearning in Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Pengfei Ma ◽  
Zunqian Zhang ◽  
Jiahao Wang ◽  
Wei Zhang ◽  
Jiajia Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Reinforcement Learning ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Learning Ability ◽  
Novel Method ◽  
Accuracy Of Prediction ◽  
The Development Trend

In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.

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