scholarly journals Research on Integrated Development Technology of Artificial Intelligence, Big Data and Cloud Computing

2021 ◽  
pp. 349-356
Author(s):  
Yu Qing
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Development Strategy ◽  
Reference Value ◽  
The United States ◽  
Two Dimensions ◽  
Integrated Development ◽  
Development Technology ◽  
Artificial Intelligence Technology

Big data is profoundly changing our society and our way of production, life and thinking. At the same time, the development of big data continues to promote the innovation and breakthrough of artificial intelligence. Artificial intelligence is the focus of current research. All countries also raise artificial intelligence to the national strategic level and seize the commanding height of artificial intelligence. This paper analyzes the strategic characteristics of the development of artificial intelligence in the United States, Britain and Japan from the two dimensions of technology deployment and system guarantee. This paper studies the artificial intelligence technology based on big data and the development strategy of artificial intelligence, so as to provide a strategic idea for the development of artificial intelligence in China. The idea has a certain reference value for the research on the integrated development technology of artificial intelligence, big data and cloud computing.

Definition and History of Smart Cities

2021 ◽  
pp. 1-22
Author(s):  
Kangjuan Lyu ◽  
Miao Hao
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Smart Cities ◽  
Monitoring Systems ◽  
Health Security ◽  
Artificial Intelligence Technology ◽  
History Of ◽  
Definition Of ◽  
Technical Basis

This chapter summarizes the development of cities, in terms of structural tendencies and the essence and problem of traditional cities. Then the definition of smart cities and their characteristics are discussed. Therefore, the development of AI (artificial intelligence) is the origin and technical basis of smart cities. Through big data and cloud computing, AI will reinvent traditional cities. Finally, varied applications of artificial intelligence technology in smart cities are explored including basic infrastructures such as monitoring systems, urban transportation, urban planning, and public services, such as medical and health, security, and varied fields in life.

scholarly journals Integrated Development Technology of Artificial Intelligence, Big Data and Cloud Computing

2021 ◽  
pp. 197-206
Author(s):  
Yuemei Ren, Xianju Feng, Lei Li
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Work Experience ◽  
Development Trend ◽  
Development Direction ◽  
Development Technology ◽  
The Development Trend ◽  
The Relationship ◽  
The Trinity

In terms of the current development status and future development direction of artificial intelligence, big data and cloud computing, the relationship between the three is inseparable. The essence of the Trinity era is that the development of the future era will focus on the three technologies of artificial intelligence (AI), big data and cloud computing. At the same time, big data has gradually entered people's vision. After the information revolution, the connection between people's daily life and data is becoming more and more close. Many enterprises begin to use the mining and analysis of big data to mine the development trend and business model of enterprises, so as to help enterprises obtain higher operation efficiency and stronger competitive advantage. Starting from reality and combined with the author's work experience, this paper discusses the combination of artificial intelligence, big data and cloud computing.

scholarly journals New Framework of Digital Entrepreneurship Model Based on Artificial Intelligence and Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jiahui Li ◽  
Meifang Yao
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Algorithm Analysis ◽  
Model Based ◽  
Artificial Intelligence Technology ◽  
New Framework ◽  
Digital Entrepreneurship

With the rapid development of entrepreneurial enterprises and the widespread application of emerging technologies, the commercialization of new technologies for entrepreneurial enterprises is particularly important. This research mainly discusses the new framework of digital entrepreneurship model based on artificial intelligence and cloud computing. Through artificial intelligence technology, the products provided by existing competitors only have the characteristics of one-way value; that is, data is only collected and displayed, and the application of artificial intelligence technology in products makes the value of products develop in two directions; that is, the machine can self-identify faults and errors are resolved and reported. Let customers experience the convenience, accuracy, and safety brought by technology through intelligent acquisition equipment hardware with artificial intelligence algorithm analysis and camera hardware with artificial intelligence image analysis. Customers can pay flexibly according to their needs. This model greatly enhances the high possibility of artificial intelligence companies landing. Use big data analysis and cloud computing technology to provide customers with a series of solutions such as warehouse management, sales forecasting, big data analysis, and financial management. In the SaaS market, in terms of market segmentation, there are no domestic enterprises with scale and brand effect; the incentive and welfare module will focus on the outsourcing and outsourcing of employee benefits. Relevant value-added services and derivative services are the core business, which can give play to the competitive advantages of specialization, scale, and platform. From 2018 to 2020, the cash paid to employees shows a gradual increase, and the taxes and fees paid are also increasing year by year. The cash paid for other operating activities reached a maximum of 12303 million yuan in 2018. This research will promote the innovation of new types of enterprises.

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.

scholarly journals Application Problems and Solutions of Intelligent Airport Service Robots

2020 ◽  
Vol 198 ◽  
pp. 04030
Author(s):  
Dai Yanyan ◽  
Chen Meng
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Large Scale ◽  
New Technologies ◽  
Effective Means ◽  
Third Party ◽  
Service Robots ◽  
Service Robot ◽  
Operation Conditions

With the development of new technologies such as artificial intelligence, big data, and cloud computing, the “intelligent airport” is considered to be an effective means to solve or alleviate the current industry problems such as large-scale airport business, the large number of operating entities, and the complicated operation conditions. This paper is about the collaboration between universities and enterprises based on the concept of service design. Relying on big data and cloud computing technology, this paper addresses the problems of airport service robots in inquiries, blind spots of security inspection, and full monomer smart navigation diffluence, combined with the basic technology of service robot artificial intelligence and the third-party interface to design solutions to effectively solve the problems of process.

Conclusion

2020 ◽  
pp. 97-102
Author(s):  
Benjamin Wiggins
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Machine Learning ◽  
Risk Assessment ◽  
Big Data ◽  
The United States ◽  
Blaise Pascal ◽  
Division Problem ◽  
The World

Can risk assessment be made fair? The conclusion of Calculating Race returns to actuarial science’s foundations in probability. The roots of probability rest in a pair of problems posed to Blaise Pascal and Pierre de Fermat in the summer of 1654: “the Dice Problem” and “the Division Problem.” From their very foundation, the mathematics of probability offered the potential not only to be used to gain an advantage (as in the case of the Dice Problem), but also to divide material fairly (as in the case of the Division Problem). As the United States and the world enter an age driven by Big Data, algorithms, artificial intelligence, and machine learning and characterized by an actuarialization of everything, we must remember that risk assessment need not be put to use for individual, corporate, or government advantage but, rather, that it has always been capable of guiding how to distribute risk equitably instead.

Sign in / Sign up

Export Citation Format

Share Document