Impact of Artificial Intelligence on Fraud Detection in Retail Banking Products

Authors

  • S. Venkata Ramana Assoc. Professor, KLEF Business School, KLEF (Deemed to be University), Vaddeswaram, Guntur (dt), A.P., India
  • Ashok Kumar Katta Research Supervisor & Associate Professor at School of Management Studies, Vels Institute of Science, Technology and Advanced Studies - VISTAS, (Deemed to be University), Chennai, India
  • P Subba Rao Professor and HOD, GIET Engineering College, Rajahmundry, East Godavari (Dt), Andhra Pradesh, India
  • S. Sivasankara Rao Associate Professor & Head, MBA Department, Pallavi Engineering College, Hyderabad, India
  • Rachagundla Raja Assistant Professor, Department of Management Studies, Godavari institute of Engineering and Technology, Research scholar (Part Time) Adikavi Nannaya University, Rajahmundry

Keywords:

Machine Intelligence, Artificial Intelligence (AI), learning, problem-solving

Abstract

Artificial intelligence (AI), now and again called machine insight is a reenactment of human knowledge in machines. It is the insight displayed by machines, rather than the regular information showed by people Artificial Intelligence is a quick creating innovation across the world. The financial area is becoming one of the main adopters of man-made consciousness. Man-made thinking is communicated to be information by machines. Financial trades of the banks are inspected for learning, decisive reasoning, and choice creation with automated thinking, and by using tremendous data, advanced examination joined with AI estimations. The paper is connected to focusing on the impact of Artificial Intelligence (AI) in the n monetary region in India and the challenges looked by the monetary region in completing Artificial Intelligence. The mark of the survey is to examine the benefits of Artificial Intelligence in the monetary region in India.

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References

C Catalini, C Foster, R Nanda (2018) - tuck.dartmouth.edu Machine intelligence vs. human judgement in new venture finance

Chakraborty, C., & Joseph, A. (2017). Machine learning at central banks. Available at:https://www.bankofengland.co.uk/working-paper/2017/machine-learning-at-central- banks.

Sehirli, E., & Alesmaeil, A. (2022). Detecting Face-Touch Hand Moves Using Smartwatch Inertial Sensors and Convolutional Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 122–128. https://doi.org/10.18201/ijisae.2022.275

H. Chen, "Business and Market Intelligence 2.0, Part 2," in IEEE Intelligent Systems, vol. 25, no. 2, pp. 74-82, March-April 2010, doi: 10.1109/MIS.2010.43.

Kaur, N. and Sirohi, R. (2013). Effect of Rupee Depreciation on Common Man. International Journal of Scientific and Research Publications, 3(10).

Ng, A. (2016). Harvard Business Review. Retrieved from https://hbr.org/2016/11/what- artificial-intelligence-can-and-cant-do-right-now

Jewandah, S. (2018). How Artificial Intelligence is changing the banking sector - A case study of top four Commercial Indian Banks. International Journal of Management, Technology and Engineering. Retrieved from http://ijamtes.org/gallery/66.july%20ijmte%20-%20711.pdf

J, M. S., S. K. Dr.N.C., M. Dr. P., T. N, and J. P. S. “IEEHR: Improved Energy Efficient Honeycomb Based Routing in MANET for Improving Network Performance and Longevity”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 7, July 2022, pp. 85-93, doi:10.17762/ijritcc.v10i7.5575.

Thim, C.K., & Seah, E. (2010). Optimizing portfolio construction using artificial intelligence. 5th International Conference on Computer Sciences and Convergence Information Technology, 338-343.

Mukul Anand Pathak, Kshitij Kamlakar, Shwetant Mohapatra, Prof. Uma Nagaraj, (2016) Development of Control Software for Stair Detection n A Mobile Robot Using Artificial Intelligence and Image Processing, International Journal of Computer Engineering and Technology, 7(3), pp. 93–98

T. Dhanabalan, A. Sathish, (2018) Transforming Indian Industries Through Artificial Intelligence and Robotics in Industry 4.0., International Journal of Mechanical Engineering and Technology, 9(10), pp. 835–845.

Chaudhary, D. S. . (2022). Analysis of Concept of Big Data Process, Strategies, Adoption and Implementation. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(1), 05–08. https://doi.org/10.17762/ijfrcsce.v8i1.2065

Sreekanth Reddy Kallem, (2013) Artificial Intelligence in the Movement of Mobile Agent (Robotic), International Journal of Computer Engineering and Technology, 4(6), pp. 394– 402

Katta Ashok Kumar, (2015) E - Banking Role in India, International Journal of Administration and Governance, 1(1), Pages: 5-8

N. A. Libre. (2021). A Discussion Platform for Enhancing Students Interaction in the Online Education. Journal of Online Engineering Education, 12(2), 07–12. Retrieved from http://onlineengineeringeducation.com/index.php/joee/article/view/49

What Machine Learning can do

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Published

16.12.2022

How to Cite

Ramana, S. V. ., Katta, A. K. ., Rao, P. S. ., Rao, S. S. ., & Raja, R. . (2022). Impact of Artificial Intelligence on Fraud Detection in Retail Banking Products. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 124–129. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2206

Issue

Vol. 10 No. 4 (2022)

Section

Research Article

License

Copyright (c) 2022 S. Venkata Ramana, Ashok Kumar Katta, P Subba Rao, S. Sivasankara Rao, Rachagundla Raja

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