Articles | Open Access | DOI: https://doi.org/10.37547/tajet/Volume06Issue12-03

USING GENAI TO TRANSFORM DIGITAL PRODUCT DEVELOPMENT AND DIGITAL SALES IN THE BANKING SECTOR

Soloveva Varvara , Engagement Manager, McKinsey & Company, San Francisco, California, USA

Abstract

The article examines the problems and strategic applications of using Generative Artificial Intellegence (GenAI) in order to transform the development of digital products and digital sales in the banking sector. The intensive development of GenAI creates unprecedented opportunities for the transformation of this sector. The relevance of the research is due to the need to rethink traditional approaches in the context of digitalization. There are contradictions regarding the optimal pace of GenAI implementation: a number of researchers call for aggressive digital innovations, while others point to the need for a gradual transition based on financial institutions’ readiness and the maturity of the technologies themselves. The aim is to analyze the key areas of application of GenAI in the characterized area. The article systematizes the elements of the conceptual framework and the advantages of using generative artificial intelligence. The study proposes a novel strategic framework for assessing GenAI's impact and applications across key areas within the banking sector. Special attention is given to how GenAI affects the process of digital product development of financial products and its potential applications in digital sales, particularly through customer engagement, hyper-personalized communication, and chatbots. As a result of the study, it was found that the introduction of GenAI in the banking sector can significantly reduce the time to bring new products to market, enhance personalization in customer interactions, and drive revenue growth through innovative cross-selling strategies. The articles’ materials are of practical value for the heads of commercial and retail banks, specialists in digital transformation, and researchers in the field of financial technologies.

Keywords

Generative artificial intelligence (GenAI), digital product development, digital sales acceleration

References

The economic potential of generative AI // URL: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the%20economic%20potential%20of%20generative%20ai%20the%20next%20productivity%20frontier/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf (accessed 11/05/2024).

Capturing the full value of generative AI in banking // URL: in https://www.mckinsey.com/industries/financial-services/our-insights/capturing-the-full-value-of-generative-ai-in-banking (accessed 11/05/2024).

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. URL: https://www.mckinsey.com/capabilities/qua ntumblack/our-insights/the-state-of-ai (accessed 11/05/2024).

Bellens J. Five priorities for harnessing the power of GenAI in banking / J. Bellens, T. Mogi // URL: https://www.ey.com/en_us/insights/banking-capital-markets/five-priorities-for-harnessing-the-power-of-gen-ai-in-banking (accessed 11/05/2024).

Bharti S.S. Customer acceptability towards AI-enabled digital banking: a PLS-SEM approach / S.S. Bharti, K. Prasad, Sh. Sudha, V. Kumari // Journal of Financial Services Marketing. – 2023. – Vol. 28. – No. 4. – Pp. 779-793.

Dietzmann Ch. Implications of AI-based robo-advisory for private banking investment advisory // Ch. Dietzmann, T. Jaeggi, R. Alt // Journal of Electronic Business & Digital Economics. – 2023. – Vol. 2. – No. 1. – Pp. 3-23.

Dimitrieska S. Generative artificial intelligence and advertising / S. Dimitrieska // Trends in Economics, Finance and Management Journal. – 2024. – Vol. 6. – No. 1. – Pp. 23-34.

Maheswari T. A implementation of ai technology in banking sector based on Coimbatore city / T. Maheswari, E. Karthika, K.R. Anusrii // ComFin Research. – 2023. – Vol. 11. – No. 1. – Pp. 32-38.

Noreen U. Banking 4.0: artificial intelligence (ai) in banking industry & consumer’s perspective / U. Noreen, A. Shafique, Z. Ahmed, M. Ashfaq // Sustainability. – 2023. – Vol. 15. – No. 4. – Pp. 36-82.

Sharma M. A study: how AI is incorporated in the Middle East banking / M. Sharma // Journal for Research in Applied Sciences and Biotechnology. – 2023. – Vol. 2. – No. 3. – Pp. 202-208.

Shaw A. AI based transformation on real banking system 4.0 / A. Shaw, A. Sen, A. Das, Ch. Roy, D. Bhattacharjee, A. Das // American Journal of Business and Management Research. – 2023. – Vol. 4. – No. 3. – Pp. 1-10.

Sheth Ja.N. AI-driven banking services: the next frontier for a personalised experience in the emerging market / Ja.N. Sheth, V. Jain, G. Roy, A. Chakraborty // The International Journal of Bank Marketing. – 2022. – Vol. 40. – No. 6. – Pp. 1248-1271.

Shkurdoda A. GenAI in Banking: 5 Transformative Use Cases / A. Shkurdoda, M. Dobosz // URL: https://neontri.com/blog/genai-applications-banking/ (accessed 11/05/2024).

Liu Yu. Demystifying GenAI for creative workers: a mixed-method investigation of firsthand experience / Yu. Liu, S. Chen, X. Xie // Academy of Management Proceedings. – 2024. – No. 1.

Cano-Marin E. Transformative potential of generative artificial intelligence (GenAI) in business / E. Cano-Marin // ESIC Market. – 2024. – Vol. 55. – No. 2. – P. 333.

McFee I. Feature article: how GenAI will change the world economy / I. McFee // Economic Outlook. – 2024. – Vol. 48. – No. 3. – Pp. 39-46.

Kido T. The challenges for GenAI in social and individual well-being / T. Kido, K. Takadama // Proceedings of the AAAI Symposium Series. – 2024. – Vol. 3. – No. 1. – Pp. 365-367.

Thompson A. What is my AI. A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX-20B, Megatron-11B, MT-NLG, and Gopher // URL: https://s10251.pcdn.co/pdf/2022-Alan-D-Thompson-Whats-in-my-AI-Rev-0b.pdf (accessed 11/05/2024).

Article Statistics

Copyright License

Download Citations

How to Cite

Soloveva Varvara. (2024). USING GENAI TO TRANSFORM DIGITAL PRODUCT DEVELOPMENT AND DIGITAL SALES IN THE BANKING SECTOR. The American Journal of Engineering and Technology, 6(12), 13–23. https://doi.org/10.37547/tajet/Volume06Issue12-03