INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1990
FOREIGN EXPERIENCE IN USING ARTIFICIAL INTELLIGENCE TO IMPROVE
MANAGEMENT EFFICIENCY
Usmanova Nasiba Akbarjonovna
Associate Professor, PhD of the Department of Management,
at the Samarkand Institute of Economics and Service, Uzbekistan
E-mail:
Telephone number: +998975788880
Nishonova Mavluda Shuxratjon kizi
Master's student, group MMN-124, department "Master's degree"
of the Samarkand Institute of Economics and Service, Uzbekistan
Annotation:
This article explores various international case studies and practices where
artificial intelligence (AI) technologies have been successfully implemented to enhance
management efficiency. It analyzes how AI-driven tools such as machine learning, automation,
and data analytics optimize decision-making, streamline operations, and improve resource
allocation in organizations across different sectors. The study highlights best practices,
challenges, and the impact of AI adoption on managerial performance, offering valuable
insights for policymakers and business leaders aiming to leverage AI for operational excellence.
Keywords:
artificial intelligence, management efficiency, international case studies, machine
learning, automation, data analytics, decision-making, operational optimization, ai adoption,
organizational performance.
Introduction.
Artificial intelligence (AI) is considered one of the main tools for
improving the efficiency of corporate governance and public administration in today's digital
transformation process. These technologies are revolutionizing the implementation of various
tasks, from automated decision-making to process optimization and security. AI not only saves
time and resources, but also helps to increase the efficiency of management systems with a high
level of accuracy.
The decision-making process in modern management systems is often based on large
amounts of data. The correct analysis of this data directly affects management efficiency.
Traditional management methods are difficult to process and make decisions based on large
amounts of data. Therefore, artificial intelligence technologies allow you to automate and
optimize these processes.
Analysis of relevant literature.
In many countries of the world, artificial intelligence
technologies are actively used not only in private enterprises, but also in public administration
systems. There are many scientific articles and practical studies on the use of AI in management
systems. In their 2022 study, world-class scientists McKinsey and Company studied the impact
of artificial intelligence on the decision-making process in business management. According to
the results of the study, AI can increase the speed of data processing by 70% and reduce
management errors [1].
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1991
The Harvard Business Review (2020) magazine provides detailed information on the
impact of AI on leadership decisions. This magazine describes AI as an assistant to managers in
the decision-making process. It helps the leader improve the quality of decisions by providing
clear and quick recommendations. It is also noted that AI technologies can create new products
and services, help create a number of new businesses with the ability to predict market trends
[2]. The Forbes Insights (2023) article highlights the opportunities for artificial intelligence to
reduce costs in enterprise management and effectively allocate resources. Artificial intelligence
and machine learning technologies have a significant impact on the efficiency of business
entities. AI technologies play a significant role in increasing the speed and accuracy of business
decision-making. McKinsey research shows that companies that use AI technologies have
increased efficiency by 30% [3].
Analysis and results.
Artificial intelligence (AI) has been used in the field of
management to analyze large amounts of data, optimize processes, and increase the speed of
decision-making. This process allows for better identification and elimination of management
shortcomings, thereby further improving the management process. These technologies are being
effectively used by a number of companies abroad. Analyzing the experiences of foreign
countries, it can be said that artificial intelligence is emerging as a key tool in automating
processes. Many large companies are actively using AI technologies. Here are a few examples:
Artificial intelligence allows business leaders to analyze large amounts of data in a short
time, which is an important factor in making complex strategic decisions. One of the leading
countries, the United States, is widely using artificial intelligence technologies to improve
management efficiency. In the context of rapidly developing technologies and databases, the
use of artificial intelligence is helping to increase the efficiency of decision-making in US
enterprises. By analyzing large amounts of data and effectively using the ability to forecast,
artificial intelligence is accelerating management processes and increasing their accuracy. For
example, Procter & Gamble has used artificial intelligence to manage marketing campaigns,
more accurately identifying target audiences and reducing advertising costs by 15% [2].
US technology giants, including Amazon, use their own personal recommendation
system to analyze the shopping habits of customers and recommend products that are suitable
for them. This system creates an individual approach to each customer by processing a large
database (Big data). This system has helped Amazon increase its annual sales volume by 35%.
Amazon has also widely used artificial intelligence and robotics systems in its logistics
networks, reducing order delivery times by 30%. Robots in Amazon warehouses quickly and
accurately carry out the processes of sorting, placing and packaging products. As a result, the
time required for human labor has been significantly reduced [4].
In addition, the US banking sector is also actively using artificial intelligence (AI)
technologies. For example, JPMorgan Chase has developed an AI-based financial
recommendation platform to help customers optimize their investment portfolios. This has
increased customer confidence and increased the bank’s profits [5]. It is also using AI to
monitor financial transactions. AI monitors customer transactions in real time, identifying and
blocking suspicious transactions. As a result, fraud cases have decreased by 40% and customer
security has significantly increased [6].
IBM Watson is an artificial intelligence platform that analyzes complex data, supports
decision-making, and automates management. Watson is used in the following areas:
• Financial management: Accelerates financial decisions and detects fraud through data
analysis. For example, companies are reducing costs by automating financial reporting.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1992
• Human resources management: IBM Watson is used in HR departments to automate
recruitment processes and identify the most suitable candidates.
IBM Watson works in real-time to analyze and manage data.
• Analytical management: IBM Watson analyzes large volumes of data (Big data) and
helps management make strategic decisions.
• Data cleansing and classification: IBM enables companies to manage data more
effectively. For example, healthcare organizations use IBM Watson to analyze millions of
patient records and improve accuracy.
With IBM Watson, businesses are automating their customer service processes.
• Chatbots and virtual assistants: IBM Watson provides virtual assistants that answer
customer questions in real time. This has increased customer satisfaction by 25%.
• Customer behavior analysis: Watson studies data and predicts customer needs in
advance.
IBM uses its AI capabilities to introduce new technologies.
• Industrial production: IBM Watson monitors and optimizes production processes to
automate and increase efficiency.
• Cybersecurity management: IBM Watson analyzes security incidents, identifies risks
in advance and increases security.
IBM Watson is achieving many results by using AI in a number of areas. These include
the following:
A. IBM Watson increased the speed of business processes by 40% by automating user
management processes.
B. Data analysis and management efficiency improved by 30%.
C. Fraud detection efficiency increased by 60% [7;8].
In addition to the above, it should be noted that artificial intelligence (AI) technologies
are also widely used in the process of digital transformation. Advanced European countries,
including Germany and France, are introducing artificial intelligence technologies as part of the
“Industry 4.0” initiative. In Germany, Siemens has developed an artificial intelligence-based
“MindSphere” platform for active automation of production processes. This platform serves to
increase production capacity by analyzing real-time data from factories [9].
Companies using artificial intelligence (AI) in management and their results
№
Company name
Application Area
Results of using Si
1. Microsoft
Big Data Management and
IT Infrastructure
Decision-making processes are
automated,
efficiency
is
increased
2. Walmart
Supply Chain and Logistics
Management
Costs are reduced by 20%,
efficiency is increased
3. Alibaba
E-Commerce Management
Speed and efficiency in
managing
purchasing
processes are increased
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1993
4. Google
Advertising
Management
and User Analytics
Advertising
efficiency
is
increased by 30%, user needs
are identified
5. Salesforce
Customer
Relationship
Management
(CRM
System)
Speed of customer needs
analysis is increased
This table provides examples of leading enterprises in the application of artificial
intelligence in the field of management. The experience of each enterprise shows how
important artificial intelligence is in increasing competitiveness in management processes.
Conclusions and recommendations.
The analysis shows that the integration of
artificial intelligence into management systems leads to increased efficiency in many areas.
Through SI technologies, organizations:
1. Automate processes, saving time and resources.
2. Make quality decisions through accurate and rapid analysis of data.
3. Increase competitiveness by developing and implementing innovations.
4. Ensure safety and minimize human errors.
These results show how effective artificial intelligence technologies are in foreign
experience. Also, SI technologies can become an integral part of future management systems.
Below are some suggestions that will help to successfully apply artificial intelligence
technologies in management systems and increase their efficiency:
First, establish cooperation between the state and the private sector to introduce artificial
intelligence-based management systems.
Second, introduce special programs for organizations to study and apply AI technologies.
Third, allocate state-level grants for the development of artificial intelligence systems to
save resources and increase efficiency.
Fourth, develop and implement security protocols for AI systems to ensure data security.
Fifth, develop retraining programs to preserve employee jobs as a result of the
integration of artificial intelligence.
List of used literature:
1. “AI for effective business leadership”. McKinsey and Company. 2022.
2. “AI and Management effectiveness”. Harvard Business Review. 2020.
3. “AI and Digital transformation: Maximazing business impact”. Forbes Insights. 2023.
4. “AI and Digital transformation: Driving customer-centric innovations”. Forbes Insights.
2023.
5. MIT Sloan Management Review. 2021.
6. “How AI is transforming fraud detection in banking”. Harvard Business Review. 2020.
7. “Case studies on business aplications of AI”. IBM Watson. 2023.
8. “Enhancing business decisions with AI”. IBM Watson AI solutions. 2023.
9. European Comission Report. 2021.
10. Usmanova N. Y. Ways of developing digital economy in Uzbekistan //Theoretical &
Applied Science. – 2020. – №. 2. – С. 101-105.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1994
11. Nasiba U. Innovative Economic Development of Uzbekistan: Trends and Prospects //The
Peerian Journal. – 2022. – Т. 5. – С. 175-179.
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13. Usmanova N. Gender Pay Gap in the Banking Sector: Has the Great Recession changed the
obvious?. – 2020.
14. Усманова
Н.
МЕҲМОНХОНХОНА
ХЎЖАЛИКЛАРИДА
СИФАТ
ВА
САМАРАДОРЛИКНИ ИФОДАЛОВЧИ КЎРСАТКИЧЛАР ТАҲЛИЛИ //Iqtisodiyot va
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DIRECTIONS OF INCREASING THE
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SOHASININI
RIVOJLANTIRISHDA
RAQAMLI
ISH
JOYINI
TARTIBGA
SOLISHNING ROLI //International Conference on Adaptive Learning Technologies. –
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ELEMENT OF THE DIGITAL ECONOMY //International Conference of Economics,
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IQTISODIY O ‘SISHGA TA’SIRI //TANQIDIY NAZAR, TAHLILIY TAFAKKUR VA
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TRANSFORMATSIYA
JARAYONLARIGA
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25. Usmanova N. Y. RAQAMLASHTIRISH–SAMARADORLIKKA ERISHISHNING
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INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1995
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HOTEL SERVICES //Berlin Studies Transnational Journal of Science and Humanities. –
2021. – Т. 1. – №. 1.1 Economical sciences.
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THE FIELD OF SERVICE //International journal of trends in business administration. –
2022. – Т. 12. – №. 1.
