An empirical study on artificial intelligence technology based on big data to assist enterprise management decision

2021 ◽  
pp. 002072092098354
Author(s):  
Jie Guo ◽  
Dong Wang
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Major Change ◽  
Enterprise Management ◽  
Management Decision ◽  
Management Decisions ◽  
Artificial Intelligence Technology ◽  
The Times ◽  
China’S Economy

With the continuous development of China's economy, the level of science and technology has been improved to a great extent. The advent of the era of Internet and cloud computing has brought a major change to China. However, with the advent of the era of big data, a bigger technological change is coming. The arrival of the era of big data has brought a certain impact on China's enterprise management and decision-making, and put forward higher requirements for China's enterprise management and decision-making. Therefore, enterprises need to constantly strive to improve themselves so as to better adapt to the era of big data. In order to keep pace with the development of The Times, major companies and enterprises need to constantly change their internal management methods in order to achieve sustainable and stable development in their own fields and make their management decisions smoother. Among them, optimization and reform of the application of big data are particularly important. Starting from the characteristics of big data and its role in enterprise management decisions, this paper analyzes the current situation of big data management within enterprises and discusses the influence of big data on enterprise management decisions from five aspects, namely, environment, data, participants, organization and technology. And this paper analyzes the construction method and design idea of enterprise decision support system based on artificial intelligence.

Reform and innovation of artificial intelligence technology for information service in university physical education

2020 ◽  
pp. 1-11
Author(s):  
Jianye Zhang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Physical Education ◽  
Information Service ◽  
Management Decision ◽  
Negative Effects ◽  
Education Management ◽  
Depth Analysis ◽  
Artificial Intelligence Technology ◽  
The Difference

This article analyzes the reform of information services in university physical education based on artificial intelligence technology and conducts in-depth and innovative research on it. In-depth analysis of the relationship between big data and the development and application of information technology such as the Internet, Internet of Things, cloud computing, to clarify the difference and connection between big data, informatization and intelligence. Artificial intelligence will bring opportunities for changes in data collection, management decision-making, governance models, education and teaching, scientific research services, evaluation and evaluation of physical education in our university. At the same time, big data education management in colleges and universities faces many challenges such as the balance of privacy and freedom, data hegemony, data junk, data standards, and data security, and they have many negative effects. In accordance with the requirements of educational modernization, centering on the goal of intelligent and humanized education management, it aims existing issues in college physical education management.

scholarly journals Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China

2021 ◽  
Vol 45 (9) ◽  
Author(s):  
Jiancheng Dong ◽  
Huiqun Wu ◽  
Dong Zhou ◽  
Kaixiang Li ◽  
Yuanpeng Zhang ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Big Data ◽  
Prevention And Control ◽  
Vaccine Development ◽  
Management Decision ◽  
Management Decisions ◽  
Health Events ◽  
Effective Diagnosis ◽  
And Control

AbstractCOVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden public health events and epidemic prevention and control in all countries. In the face of the severe situation of epidemic prevention and control and the arduous task of social management, the tremendous power of science and technology in prevention and control has emerged. The new generation of information technology, represented by big data and artificial intelligence (AI) technology, has been widely used in the prevention, diagnosis, treatment and management of COVID-19 as an important basic support. Although the technology has developed, there are still challenges with respect to epidemic surveillance, accurate prevention and control, effective diagnosis and treatment, and timely judgement. The prevention and control of sudden infectious diseases usually depend on the control of infection sources, interruption of transmission channels and vaccine development. Big data and AI are effective technologies to identify the source of infection and have an irreplaceable role in distinguishing close contacts and suspicious populations. Advanced computational analysis is beneficial to accelerate the speed of vaccine research and development and to improve the quality of vaccines. AI provides support in automatically processing relevant data from medical images and clinical features, tests and examination findings; predicting disease progression and prognosis; and even recommending treatment plans and strategies. This paper reviews the application of big data and AI in the COVID-19 prevention, diagnosis, treatment and management decisions in China to explain how to apply big data and AI technology to address the common problems in the COVID-19 pandemic. Although the findings regarding the application of big data and AI technologies in sudden public health events lack validation of repeatability and universality, current studies in China have shown that the application of big data and AI is feasible in response to the COVID-19 pandemic. These studies concluded that the application of big data and AI technology can contribute to prevention, diagnosis, treatment and management decision making regarding sudden public health events in the future.

scholarly journals Research on the Application of Big Data and Artificial Intelligence Technology in Computer Network

2020 ◽  
Vol 4 (2) ◽  
pp. 21
Author(s):  
Wang Hongfei
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computer Network ◽  
Social Economy ◽  
Internet Technology ◽  
Network Technology ◽  
Processing Efficiency ◽  
Artificial Intelligence Technology ◽  
The Times ◽  
Application Requirements

With the continuous development of social economy, science and technology are also in continuous progress, relying on the Internet technology of big data era has come in an all-round way. On the basis of the development of cloud computing and Internet technology, artificial intelligence technology has emerged as the times require. It also has more advantages. Applying it to computer network technology can effectively improve the data processing efficiency and quality of computer network technology, and improve the convenience for people’s life and production. This paper studies and analyzes the practical application requirements of computer network, and discusses the application characteristics and timeliness of artificial intelligence technology.

Development of migrant workers in construction based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Chen Guang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Labor Force ◽  
Migrant Workers ◽  
Engineering Industry ◽  
Agricultural Industry ◽  
Construction Engineering ◽  
Artificial Intelligence Technology ◽  
Chinese Labor ◽  
The Times

Artificial intelligence technology has been widely used in all aspects of our life. Similarly, the application of artificial intelligence in the field of construction engineering is a necessary trend in the development of engineering industry, especially in the traditional construction engineering department. Under the background of the times, from the perspective of knowledge, artificial intelligence technology has appeared a huge development, which may have an impact on the employment of Chinese labor force, may create new jobs, or replace traditional jobs. This effect on employment is essential. From the perspective of machine learning and artificial intelligence, this paper reviews the transformation prospects of engineering industry and the development of agricultural industry in construction industry, and examines the intellectual transformation of individual human capital in Chinese labor force.

Research on the university intelligent learning analysis system based on AI

2021 ◽  
pp. 1-10
Author(s):  
Meng Huang ◽  
Shuai Liu ◽  
Yahao Zhang ◽  
Kewei Cui ◽  
Yana Wen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Academic Performance ◽  
Clustering Algorithm ◽  
Back Propagation ◽  
Three Dimensional ◽  
Training Model ◽  
Future Trend ◽  
Artificial Intelligence Technology ◽  
Visualization Technology

The integration of Artificial Intelligence technology and school education had become a future trend, and became an important driving force for the development of education. With the advent of the era of big data, although the relationship between students’ learning status data was closer to nonlinear relationship, combined with the application analysis of artificial intelligence technology, it could be found that students’ living habits were closely related to their academic performance. In this paper, through the investigation and analysis of the living habits and learning conditions of more than 2000 students in the past 10 grades in Information College of Institute of Disaster Prevention, we used the hierarchical clustering algorithm to classify the nearly 180000 records collected, and used the big data visualization technology of Echarts + iView + GIS and the JavaScript development method to dynamically display the students’ life track and learning information based on the map, then apply Three Dimensional ArcGIS for JS API technology showed the network infrastructure of the campus. Finally, a training model was established based on the historical learning achievements, life trajectory, graduates’ salary, school infrastructure and other information combined with the artificial intelligence Back Propagation neural network algorithm. Through the analysis of the training resulted, it was found that the students’ academic performance was related to the reasonable laboratory study time, dormitory stay time, physical exercise time and social entertainment time. Finally, the system could intelligently predict students’ academic performance and give reasonable suggestions according to the established prediction model. The realization of this project could provide technical support for university educators.

Big Data Technology, Evolving Knowledge Skills and Emerging Roles

2016 ◽  
Vol 16 (4) ◽  
pp. 219-224 ◽  
Author(s):  
Alex Smith
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Emerging Technology ◽  
Law Firms ◽  
Support Functions ◽  
Legal Problems ◽  
Artificial Intelligence Technology ◽  
Domain Expertise ◽  
New Generation ◽  
Big Data Technology

AbstractIn a world where articles and tweets are discussing how artificial intelligence technology will replace humans, including lawyers and their support functions in firms, it can be hard to understand what the future holds. This article, written by Alex Smith, is based on his presentation at the British and Irish Association of Law Librarians conference in Dublin 2016 and looks at demystifying the emerging technology boom and identifies the expertise needed to make these tools work and be deployed in law firms. The article then looks at the skills and expertise of the knowledge and information teams, based in law firms, and suggests how they are ideally placed to lead these challenges as a result of their domain expertise and their existing, well defined skills that are essential to this new generation of technology. The article looks at the new technical environment, the emerging areas of products and legal problems, the skills needed for the new roles that this revolution is creating and how this could fit into a reimagined knowledge team.

EFFICIENCY OF MANAGEMENT DECISIONS IN LOCAL GOVERNMENT BODIES

2017 ◽  
Author(s):  
Tetiana Sych ◽  
◽  
Keyword(s):  
Decision Making ◽  
Local Government ◽  
Public Administration ◽  
Professional Training ◽  
Human Factor ◽  
Nobel Laureate ◽  
Management Decision ◽  
Management Decisions ◽  
State Management ◽  
Public Administration Reform

The article considers the factors influencing the efficiency of management decisions made by local government bodies in the modern conditions of public administration reform and the development of local self-government in Ukraine. The author outlines the features of this problem, the main features of state-management decisions, the essence of the concepts "effect", "efficiency of management decisions", the main approaches to the study of the problem of decision-making are highlighted. The main attention is paid to the direction of research, which takes into account the human factor. The main ideas of the representative of this direction - the Nobel laureate D. Kahneman, presented in the book "Noise", are considered. This work raises the issue of system errors among those who make decisions. The views of the domestic scientist O. Maltsev on the designated problem and the provisions of D. Kahneman's book are presented. The results of the analysis by scientists of the influence of the human factor and psychological characteristics of management decision-making on the efficiency of decisions are reflected. The conclusions of scientists regarding the need to take into account the qualities of a decision- making person and his professional training are summarized. The main characteristics of the personality that influence decision-making are given from the domestic scientific literature on public administration problems. In accordance with these ideas, the requirements for the positions of civil servants, local self-government bodies, as well as the modern practice of training specialists and managers in this field are considered. It is concluded that the primary importance for making effective decisions by local government bodies is the use by specialists and managers of modern technologies for developing and making management decisions, the development of their personal qualities for making management decisions in the process of training and obtaining specialized management education in universities.

Sign in / Sign up

Export Citation Format

Share Document