February 2025
Intermediate to advanced
512 pages
13h 16m
English
book
Generative Artificial Intelligence in Finance
by Pethuru Raj Chelliah, Pushan Kumar Dutta, Abhishek Kumar, Ernesto D. R. Santibanez Gonzalez, Mohit Mittal, Sachin Kumar Gupta
Content preview from Generative Artificial Intelligence in Finance
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2Automating Data Entry in the Indian Banking Industry Through Generative AI
Srividya Prathiba1, Rahul Pandey2, Yashwant Patel3* and Manjinder Singh4
1M.O.P. Vaishnav College for Women, Chennai, India
2Jagran Lakecity University Bhopal, Bhopal, India
3Eklavya University Damoh M.P., Damoh, India
4PG Department of Commerce, Sri Guru Gobind Singh College, Chandigarh, India
Abstract
The Indian banking industry faces an ongoing challenge with manual data entry processes, resulting in inefficiencies, errors, and increased operational costs. This research explores the feasibility and benefits of automating data entry through generative AI techniques, specifically tailored to the Indian banking context. Leveraging machine learning models, natural language processing, and document processing technologies, this study presents a novel approach to streamline data entry tasks.
Keywords: Data entry automation, generative AI, machine learning, operational efficiency, cost optimization
2.1 Introduction
The Indian banking industry, a vital component of the nation’s financial ecosystem, plays a pivotal role in fostering economic growth and stability. With over 10,000 branches and a plethora of financial products and services, Indian banks cater to the diverse financial needs of individuals and businesses [3]. However, the industry grapples with significant operational challenges, particularly in data entry and management.
Efficient data entry is fundamental for banking operations, encompassing ...
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