Revolutionizing Financial Management Through Artificial Intelligence
DOI:
https://doi.org/10.59415/mjacs.384Keywords:
Generative AI, Quantum Algorithm, Critical Path Method, Programme Evaluation and Review Technique, Deep LearningAbstract
In the monetary economy, banks and financial institutions were established for money creation. Both organised and unorganized sector have a mushroom growth of development in capital and money market. Apart from banks and financial institutions, stock markets were established in Metro-Politian cities. In the developing economy like India, shortage of finance is the major problem for the budding entrepreneurs. Traditionally, the work of finance managers are limited to maintain the accounts of the business only. Now, the function of finance manager is to acquire finance and utilization of finance. In the modern economy, Artificial Intelligence is a boon to finance managers to find out the new sources of finance and investment of finance in proper avenues. The objectives of the study are to know about the benefits of AI in financial management, to study the methods through which AI is used by financial institutions, to identify the stakeholders of AI in finance and to predict the future trends of AI in finance.
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References
Bala Guru Moorthi, S. (2019). Quantum Algorithm for Real Life Applications, Chennai: Varshini Publishers, I Edition.
D’Mello S, Graesser A. Auto Tutor and affective Auto Tutor: Learning by talking with cognitive and emotionally intelligent computers that talk back. ACM Transactions on Interactive Intelligent Systems (Tiis). 2013; 2(4):1-39
Gelman A, Carlin JB, Stern HS, Rubin DB. Bayesian data analysis. J Chem Inf Model. 2013; 53:1689-1699
Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge: MIT Press. 2016; 1(2):1-800
Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge: MIT Press. 2016; 1(2):1-800
Jaswanth and Margrett. (2014). Embeeded System and Architecture for Internet, United Kingdom: Sarvarth Publishers. II Edition.
Kaplan J. Artificial intelligence: What everyone needs
Kaplan J. Artificial intelligence: What everyone needs to know? Oxford University Press, 2016.
Keerthana, J. & Veenarani, L. (2022). Stock Market Operations and Cloud Technologies, Journal of Financial Markets, VI (8), 121-145.
Mayer-Schönberger V, Cukier K. Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, 2013.
Sankar, K.D. (2016). Generative AI – AI Tools for Businessmen and Data Analyst, Singapore: Moral Publishers, II Edition.
Saravanan, K. & Sukumar, M. (2020). Methodologies of Information Technology (IT) and Information Technology Enabled Services (ITES) Companies, Scientific Review, X (ii), 47-61.
Shanthi, R & Madhumitha, S. (2023). Banking Sector in AI World from Traditional Era to Modern Era, ICSSEM 3rd International Conference on Banking, Insurance and Financial Markets, Jaipur, 25th May 2023.
to know? Oxford University Press, 2016.
Von Neumann J, Morgenstern O. Theory of games and economic behavior. Princeton University Press, 1944
Vygostsky LS. Mind in Society: The development of higher psychological processes. Harvard University Press, 1978
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