Future Development of Information Management Systems Based on

Big Data Technology, Artificial Intelligence Technology and

Cloud Computing

Siqi Zhou

Xiangtan University, School of Public Administration, Xiangtan, China

Keywords: Information Management System, Artificial Intelligence Technology, Big Data Technology, Cloud

Computing.

Abstract: The progress of computer technology and the development of the era bring significant opportunities for the

innovation and change of the modern information management system. This paper mainly analyses the

functions, applications. At the same time, the basic situation in the field is briefly described. The paper

concludes that with the continuous development and popularization of information management systems,

enterprises are prompted to use information systems to manage information and improve efficiency. The paper

enumerates the information management systems designed in different fields and highlights the importance

of big data, artificial intelligence and cloud computing technologies in information management

systems,offering new insights into the integrated application of big data, cloud computing, and artificial

intelligence. This paper aims to introduce the current situation and future development direction of the

information management system, provide relevant reference for the relevant business units, and help them

better apply the information management system to improve the management level and competitiveness.

1 INTRODUCTION

An information management system is a system that

uses computer technology and information

technology to collect, store, process, transmit and

utilize information. Its main functions include data

collection, storage, processing, analysis and

transmission to support decision-making, business

process optimization and knowledge management

within an organization. The functions of information

management systems are diverse and flexible and can

be customized and extended according to the needs of

organizations to help them realize information

management and improve work efficiency and

decision-making. With the rapid development of the

Internet and the rapid progress of information

technology, information management system, as an

important information tool, can help organizations

and individuals to organize better, store, retrieve and

share information, and improve work efficiency and

decision-making. The current information

management system is not only a product of a single

https://orcid.org/0009-0003-8577-3079

discipline, but can be cross-fertilized and applied with

multiple disciplines. This interdisciplinary cross-

application promotes the continuous innovation and

development of information management systems

and provides more comprehensive and effective

support for the informatization process of various

industries.

At present, information management systems play

an important role in various fields. In enterprise

management, information management systems are

widely used in enterprise resource planning, customer

relationship management, and supply chain

management, helping enterprises to improve

management efficiency and decision-making level

and enhance competitiveness. In healthcare,

information management systems are used in medical

data management, disease monitoring and

prevention, and medical resource scheduling,

providing technical support and guarantees for

medical and healthcare services. In the field of

financial services, information management systems

are used in risk management, transaction processing,

customer service, and improving the operational

742

Zhou, S.

Future Development of Information Management Systems Based on Big Data Technology, Artiﬁcial Intelligence Technology and Cloud Computing.

DOI: 10.5220/0012972100004508

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence (EMITI 2024), pages 742-746

ISBN: 978-989-758-713-9

efficiency and service quality of financial institutions.

In education and training, information management

systems are used in student management, teaching

resource management, online education, which

promotes the informatization of education and the

improvement of teaching quality.

Firstly, this paper will review the development

history and application status quo of information

management system, discuss the practical application

of information management system in various

industries, and analyse its advantages and limitations

in improving management efficiency, optimizing

decision-making process and reducing costs. Next,

this paper will discuss the cross-application of

information management system and other

disciplines, and analyse the impact of cross-

application on the optimization and upgrading of

information management system. Finally, this paper

will look forward to the development prospect of

information management system, combining new

technology and new concepts, exploring the

development trend of information management

system driven by new technologies such as big data,

artificial intelligence, cloud computing, and

proposing the future development direction and

strategy of information management system.

2 CURRENT STATUS OF

DEVELOPMENT OF

INFORMATION

MANAGEMENT SYSTEMS

2.1 Development History

Early information management relied mainly on

manual processing and storage, including manual

records, file management and other methods. This

stage of information processing is inefficient, error-

prone and unable to meet the growing demand for

information processing. With the development of

computer technology, information management has

gradually become electronic. Organizations began to

use computer systems to process and manage

information, improving the efficiency and accuracy

of data processing. The emergence of database

management systems has made data storage and

retrieval more efficient. Information management

systems became networked in the context of the

growing popularity and development of the Internet.

Information sharing between different departments

and locations within organizations has become more

convenient, and information exchange with external

partners has also been achieved. Systems such as

Enterprise Resource Planning (ERP) and Supply

Chain Management (SCM) began to emerge. At the

current stage, along with the rapid development of

artificial intelligence, big data, cloud computing and

other technologies, information management systems

are gradually becoming more intelligent. The system

is capable of data analysis, intelligent decision

support, automated processes and other functions,

providing organizations with more thoughtful and

personalized information management services.

2.2 Status of the Management

Information System

In recent years, information management systems

have been widely used around the world. More and

more enterprises and organizations have begun to pay

attention to information management and have

invested a lot of resources to help daily business

operations and decision-making. Many universities

and research institutes are also developing

information management systems while training a

large number of information management talents to

promote the development of information

management systems. Information management

systems have been widely used in various industries,

and information management systems in different

sectors are customized according to needs to achieve

information management and service optimization.

After years of development and improvement, the

information management system has a high stability

and reliability and can meet the needs of long duration,

high frequency, and large volume of usage.

3 TRENDS IN THE

DEVELOPMENT OF

INFORMATION

MANAGEMENT SYSTEMS

Talent cultivation is essential to developing an

information management system. Universities should

innovate the training mode of information

management system talents and endeavor to cultivate

high-quality talents to meet the actual needs of

society. The professional training of information

management system should focus on its own history

and characteristics, establish a multi-level and

diversified talent training mode, offer

interdisciplinary courses, and cultivate students'

comprehensive ability. People should establish

training objectives, co-operate with employers to run

Future Development of Information Management Systems Based on Big Data Technology, Artiﬁcial Intelligence Technology and Cloud

Computing

743

schools, so that students can apply knowledge

through practice, and strive to solve the problem of

inconsistency between the teaching content of the

school and the requirements of the employing

units(Zhou,2021). The current rapid development of

information technology, the school should The

current rapid development of information technology,

the school should continue to innovate the teaching

content, regular evaluation and improvement of the

training mode, to cultivate talents to meet the

requirements of society

3.1 Continuous Improvement of

Technical Level

With the rapid development of cloud computing, AI

technology and big data, information management

systems are increasingly inclined to adopt cloud

deployment and big data analysis. Cloud computing

provides a more flexible and scalable deployment

method for information management systems. By

building models and databases using cloud

computing and storing a large amount of data in the

cloud reduces the cost of using computers to process

information while enhancing their operating and

processing capabilities. Through cloud computing,

the system can achieve advantages such as resource

sharing and elastic expansion to maximize economy

and benefits(Li,2022). Taking the cloud computing

resource management system of the disaster

preparedness centre as a benefit, the platform

achieves unified deployment and promotes on-

demand allocation and dynamic scheduling of

resources, which not only makes resource utilization

much higher, but also ensures the safe operation of

applications. The cloud computing resource platform

transforms the business of the disaster recovery centre

from the original manual operation mode to the IT-

based mode supported by process and automation,

bringing economic and managerial benefits (Luo,

2023).

3.2 Intelligence and Automation

Information management systems are gradually

moving towards intelligence and automation by

introducing technologies such as artificial

intelligence and machine learning to achieve

functions like intelligent data analysis and automated

decision support, thereby enhancing the system's

level of intelligence. For example, an intelligent

traffic information management system based on AI

technology identifies road conditions, compares

traffic flow in different directions, calculates the

current traffic flow on road segments based on the

traffic recognition system, analyzes and compares

traffic flow on different road segments, and

determines the optimal green light duration to control

traffic signals and address urban traffic congestion

issues(Li,Xie,Zhu,et al, 2023). In improving student

management systems using artificial intelligence

technology and big data analysis algorithms, Ying

Wang and Yunfan Sun conducted an experimental

analysis using the random forest algorithm and found

that the system's information processing speed

doubled after training(Wang and Sun,2023).

Therefore, artificial intelligence technology and big

data analysis algorithms can significantly improve the

efficiency of information management systems in

processing information, providing strong support for

the intelligent development of information

management systems.

3.3 Mobility and Convenience

Development

With the popularity of mobile Internet, the

information management system tends to support

various mobile devices, such as mobile phones and

tablets, allowing users to access the system anytime

and anywhere. At the same time, the system will also

provide cross-platform support so that users can

seamlessly use the system on different devices,

providing a more convenient mobile office and

service experience and meeting the needs of users to

access information anytime and anywhere. In the

development of the mobile office information

management system for rail transport supervision,

smart terminals are used as the carrier and a variety

of advanced technologies are adopted, including VPN,

database synchronization and identity authentication.

The organic combination of smartphones, wireless

networks and OA systems realizes office work at any

time and place, strengthens communication between

enterprise management and construction sites,

provides decision-making support, significantly

improves office efficiency and saves costs(Cai,2020).

3.4 Data Security and Privacy Protection

With data leakage and privacy issues becoming

increasingly serious, information management

systems face security and privacy protection

challenges, such as network information theft and

system attacks, which require enhanced security

technologies and management measures. Network

and system security is monitored in real time by using

big data technologies to collect and process massive

EMITI 2024 - International Conference on Engineering Management, Information Technology and Intelligence

744

amounts of data, such as security logs, in order to

respond to anomalies in a timely manner. For

example, using aggregation algorithms to group data

and identify anomalous groups, in addition, through

data analysis and modelling, one can gain a more

comprehensive understanding of the security status of

information systems, identify security threats in a

timely manner, predict future risks and assign

appropriate countermeasures(Wang,2024). With the

help of big data technology and encryption

technology fusion can better combat the threat of

wrongdoing in the information system. Digital

signature technology is based on data and information

objects, and ensures the operational security of the

information management system by establishing a

key system. This approach can be interfaced with the

daily operation of the information management

system. At the same time, the integration of cloud

technology and data mining and other technologies

can ensure that the key technology has

irreproducibility, to prevent the authority to be stolen,

so as to enhance the security of the information

management system.The key technology can prevent

the theft of rights, thus improving the security of the

information management system(Xu,2023).

4 APPLICATION AREAS OF

INFORMATION

MANAGEMENT SYSTEMS

The final sentence of a caption must end with a

period. In addition to the traditional enterprise

information management, information management

system also involves the following new fields and

application scenarios. Medical information

management systems can help hospitals and clinics

manage patient information, medical records,

medical records and other data to improve the quality

and efficiency of medical services. It can also support

remote medical services and medical big data

analysis. In the logistics management of hospitals, the

information management system can achieve

information sharing and collaboration among hospital

departments by centralizing information on materials,

equipment, personnel, etc. on the same platform, and

hospital managers can monitor and deal with

problems in real time through the system, which

improves the efficiency and level of logistics

management and reduces the cost of logistics

management.The system can improve the efficiency

and level of logistics management and reduce the cost

of logistics management(Chen,Xu,2023).

In the education system, schools and educational

institutions can use information management systems

to manage student information, curriculum

arrangements, teaching resources, achieve

digitization and intelligence in the education process,

and enhance teaching effectiveness and management

efficiency.

Financial institutions also need information

management systems to manage customer

information, transaction data, risk control, etc., to

support the operation and supervision of financial

business. At the same time, they can also be applied

in the field of financial technology to promote

financial innovation and digital transformation.

Retailers and e-commerce platforms use

information management systems to manage product

information, inventory, orders and other data, to

achieve supply chain management, sales forecasting

and customer relationship management, and to

improve sales efficiency and user experience.

Inseparable from e-commerce is the logistics system.

In the future, intelligent logistics systems will enable

paperless work in logistics operations, such as

automated picking and three-dimensional systems in

distribution centre. Logistics companies and supply

chain managers can share information through

innovative information management methods to

achieve data interaction between logistics and

cooperating companies, interaction with end users,

and tripartite linkage information transfer, and

enhance the ability to classify and control order

information data and data development and research

capabilities. At the same time, it is also necessary to

strengthen the information management of end-users

to improve the user experience(Zhou,2021).

In the future, the construction of smart cities will

require information management systems to integrate

various types of data in the city, including traffic,

energy, environment, etc., to achieve intelligent

management and optimization of urban operations

and improve the quality of urban life.

By expanding applications in different fields, the

information management system can better meet the

needs of various industries, promote digital

transformation and intelligent development, and

provide society with more convenient and efficient

services and management methods.

5 CONCLUSIONS

This paper mainly discusses the current situation and

future development trend of information management

systems. Through the analysis of the current situation

Future Development of Information Management Systems Based on Big Data Technology, Artiﬁcial Intelligence Technology and Cloud

Computing

745

faced by the current information management system

and the future development trend, this paper

concludes that the information management system

plays a significant role in various fields, providing

favorable support for the development of various

industries. In the future, big data technology, artificial

intelligence technology and cloud computing

technology will continue to perfect and improve the

information management system, bringing more

efficient and more intelligent system performance to

meet the needs of society. At the same time, the

information management system is also faced with

security problems through big data technology real-

time monitoring and data encryption technology and

other timely detection and resolution of security

problems, to ensure the security of the information

management system. However, this paper also has

some shortcomings. The paper's elaboration on the

development trend of information management

system is relatively general. Although the content of

the paper mentions the operational use of big data,

artificial intelligence and cloud computing in the

information management system, it does not provide

specific data to support the lack of a more

comprehensive and in-depth study of the

development of these technologies.

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