The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2023.

Detalhes bibliográficos
Autor principal: Salman, Md. Mostafa
Outros Autores: Alam, Md. Kausar
Formato: Internship report
Idioma:English
Publicado em: BRAC University 2024
Assuntos:
Acesso em linha:http://hdl.handle.net/10361/23510
id 10361-23510
record_format dspace
spelling 10361-235102024-09-18T05:37:22Z The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited Salman, Md. Mostafa Alam, Md. Kausar Brac Business School, Brac University Artificial Intelligence Supervision Assurance Credit risk management Accounting Machine learning Credit--Management. Risk management. This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2023. Cataloged from the PDF version of the internship report. Includes bibliographical references (page 37). The report consists of three chapters. The first chapter is an overview of the internship experience in the organization. The second chapter is about the organization in which the internship was performed. Finally, the third chapter is the topic selected for the report, which is "The Role of Artificial Intelligence in Streamlining Assurance and Supervision Procedures for CVC Finance Limited". Firstly, in the first chapter, I talked about the experiences and knowledge I gained from the internship and what the organization gained from me. Later in the second chapter, I discuss the organization’s practices as well as its situation. Lastly, in the third chapter, I have discussed the current situation of credit risk management in Bangladesh and how the world is slowly moving towards artificial intelligence in terms of credit risk management. Furthermore, I talked about how CVC Finance Limited can use AI to streamline its assurance and supervision procedures. MD. Mostafa Salman B. Business Administration 2024-06-23T08:13:26Z 2024-06-23T08:13:26Z ©2023 2023-06 Internship report ID 19104135 http://hdl.handle.net/10361/23510 en Brac University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 52 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Artificial Intelligence
Supervision
Assurance
Credit risk management
Accounting
Machine learning
Credit--Management.
Risk management.
spellingShingle Artificial Intelligence
Supervision
Assurance
Credit risk management
Accounting
Machine learning
Credit--Management.
Risk management.
Salman, Md. Mostafa
The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
description This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2023.
author2 Alam, Md. Kausar
author_facet Alam, Md. Kausar
Salman, Md. Mostafa
format Internship report
author Salman, Md. Mostafa
author_sort Salman, Md. Mostafa
title The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
title_short The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
title_full The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
title_fullStr The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
title_full_unstemmed The role of artificial intelligent in streamlining assurance and supervision procedures for CVC Finance Limited
title_sort role of artificial intelligent in streamlining assurance and supervision procedures for cvc finance limited
publisher BRAC University
publishDate 2024
url http://hdl.handle.net/10361/23510
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