INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue IX, September 2024
www.ijltemas.in Page 156
“A Study on Challenges and Opportunities of Emerging
Technologies in the Indian Banking Sector”
Mrs Kavitha J
Assistant professor, Department of Commerce, Adichunchangiri Institute of Business Management 577101
DOI: https://doi.org/10.51583/IJLTEMAS.2024.130916
Received: 04 September 2024; Accepted: 16 September 2024; Published: 19 October 2024
Abstract: In recent times, a multitude of technologies have surfaced and are currently being extensively employed within the
banking and financial industries. Among the various technologies available are robotic process automation (RPA), machine
learning (ML), artificial intelligence (AI), big data, block chain integration, cyber security, cloud computing, and cryptocurrency.
These technological advancements ease human lives. On the other hand, some people are not aware of them in the public domain.
This study aims to educate readers on the benefits of these technologies in financial services and how they can be used to their
advantage. The data from this study will assist different stakeholders in developing plans for growing their businesses and
acquiring new clients while gaining a competitive edge. Since the descriptive technique was most suited for this topic, it was used
to perform the research. Information was gathered from a variety of sources, including websites for listed businesses, RBI, SEBI,
and published reports. Credit evaluation, check payments, money transfers, merchant services, currency exchange, wealth
management, stock market, portfolio management, and insurance are only a few of the processes that heavily rely on the chosen
technologies. Therefore, this is beneficial to all parties involved in these companies. One significant outcome of this study is the
rapid growth of digital accounting, which in the future may totally replace human labor.
Key words: Hyper automation, Artificial Intelligence, Digital literacy, Block Chain Technology, Robotic Process Automation,
and Data Analytics
I. Introduction
The world is changing quickly thanks to cutting-edge technology, and it is achieving novel feats in a wide range of industries,
including retail, education, financial services, supply chain and logistics, and transportation. Technology has permeated daily life
and changed how people live, from getting out of bed in the morning to going to sleep at night. Technology brought about the
shift, which is an essential phenomena to endure on our cutthroat world. Technology is used in many ways, such as the sensor
bell at the door of one's house or the first landing on Mars. All industries benefit from it, but there are also numerous, widespread
issues that arise as a result of it. The human race still has a great deal to learn about the applications of technology, and there are
still a great deal of issues that require thoughtful answers. Financial services are changing as a result of digital innovations. For
instance, online banking is replacing traditional methods of conducting business by being accessible to customers around-the-
clock; physically handled stock market transactions are being transferred to online platforms; big data assists in properly
organizing data on electronic devices so that it can be used whenever necessary; data mining is used to acquire new clients and
manage risk; the financial sectors have given rise to new terms like Regulatory Tech and Super Technology due to the growing
power of artificial intelligence and machine learning; cloud computing is used to protect data and fault tolerance; and block chain
are employed to transmit money from one end to the other end efficiently. For instance, Ripple Net's usage of block chain
technology enables customers to transfer money in five seconds. Many Fintech companies have successfully entered the market
with De Fi systems, which allow you to keep your money in a safe digital wallet rather than a bank, thanks to block chain
technology. His ground breaking work will alter centralized finance. The drawbacks of service advancement include decreased
security, an increase in fraud, problems with trust and loyalty, difficulty altering regularly scheduled operations, difficulty shifting
mind sets, etc. The reader will gain a thorough understanding of developing technologies in this study effort, including their
applications, benefits, and drawbacks. This knowledge will aid in the development of new tactics aimed at outpacing competitors
and gaining a competitive edge. Additionally, readers will discover the topic's future potential and contribute to more research.
Additionally, they will learn a few new phrases related to the banking and finance industry. They will discover the innovations
made in this field by Fintech and how the latest Fintech are controlling banks and other financial institutions.
II. Literature Review
Gardiner, a. e. Finance (1978) reported that the first transfer of money via electronic medium was done in 1915- in the starting of
20th century by Federal Reserve bank. After this in 1918, American banks connected reserves’ telephones, federal reserve board
and the treasury by telegraph which results in a telecommunications system to process the funds transfers. In 1934, IBM 801 bank
proof machine were invented and IBM 803 proof machines in 1949 to do many kinds of financial services. (WO. Technology and
future of financial industry, 1985) In 1950, the first credit card company named Diners club international was developed which
has introduced first independent credit card. (Wang j. y. Technology transfer in international business, 1994) In 1952, Artificial
intelligence was earliest coined by Mc Cathy and was realize for the smart machine manufacture in science and engineering
Sectors. In 1955, the term Machine Learning was introduced by Samuel A. (Simon, H.A. Artificial intelligence: An empirical
science, 1995) In 1971, NASDAQ become the largest automated and electric stock exchange in U.S. In 1982, Big data was