The Impact of Artificial Intelligence on Personalised Banking Services

Abstract

Artificial intelligence (AI) has emerged as a transformative technology with the potential to revolutionise the banking industry by offering personalised and tailored financial solutions to customers. This study investigates the impact of AI on personalised banking services. Through the analysis of current AI-driven banking applications and case studies, this research explores the advantages and challenges of implementing AI in personalising banking services. Moreover, it examines the implications of AI on customer experience, data privacy and overall operational efficiency in the banking sector. The research can provide insights into ensuring customer trust, regulatory compliance and responsible AI practices in personalised banking services. The study can investigate the challenges and opportunities in implementing AI-based personalised banking services. It can explore factors such as data quality, integration with existing systems, regulatory compliance and the need for human oversight. The research can provide insights into strategies for the successful implementation and adoption of personalised banking services.

Keywords

Artificial intelligence (AI)personalised banking services financial technology (fintech)customer experience data analytics machine learning

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References

Divya

, & Tripura

(2022). A study on emerging trends and challenges in digital finance. Journal of Management, 9(3), 11–20. https://doi.org/10.17605/OSF.IO/WBQK6

Harita

, & Reddy

A. A. P.

(2023). Microfinance, financial inclusion and women empowerment. International Journal of Advanced Research in Management, 14(1), 11–17. https://doi.org/10.17605/OSF.IO/X3W5Q

Kannan

, & Dhamotharan

(2023). Customer satisfaction of online banking services in Indian Overseas Bank with special reference to Sivaganga district. International Journal of Management, 14(5), 123–129.

Kumaraswamy

(2023). Impact of financial technology on traditional banking. International Journal of Commerce and Business Studies, 5(2), 1–6. https://doi.org/10.17605/OSF.IO/87ANH

Ramachandran

K. K.

(2023a). Digital dynamics: Integrating online channels for sales promotion success. International Journal of Advanced Research in Management, 14(2), 20–35.

Ramachandran

K. K.

(2023b). Evaluating ROI in digital marketing campaigns: Metrics, measurement, and insights. International Journal of Management, 14(7), 190–204.

Ramachandran

K. K.

(2023c). Optimizing IT performance: A comprehensive analysis of resource efficiency. International Journal of Marketing and Human Resource Management, 14(3), 12–29.

Vinay

S. B.

, & Balasubramanian

(2023). A comparative study of convolutional neural networks and cybernetic approaches on CIFAR-10 dataset. International Journal of Machine Learning and Cybernetics, 1(1), 1–12. https://doi.org/0.17605/OSF.IO/QY32B