• Sridhar Madasamy

In recent years, the banking sector has witnessed a significant transformation in customer service delivery, primarily driven by advancements in cloud computing and artificial intelligence (AI) technologies. One of the most notable developments in this evolution is the emergence of chatbots as a crucial component of customer interaction strategies. This paper explores the evolution of chatbots in the banking industry, focusing on the synergistic relationship between cloud computing and AI. It examines how cloud-based infrastructure has enabled scalable and efficient deployment of chatbot solutions, while AI algorithms have empowered these bots with natural language understanding and contextual intelligence. Furthermore, the paper investigates the various applications of chatbots in banking customer interactions, including account inquiries, transaction assistance, and personalized recommendations. It also discusses the challenges and opportunities associated with implementing chatbots in the banking sector, such as data privacy concerns, regulatory compliance, and the need for continuous improvement in AI capabilities. By analyzing case studies and industry trends, this paper highlights the benefits of integrating cloud and AI technologies in banking customer service, such as enhanced efficiency, cost savings, and improved customer satisfaction. It also provides insights into future directions for chatbot development, such as the integration of voice recognition, sentiment analysis, and predictive analytics.

Chatbots, Evolution, Cloud Computing, Artificial Intelligence (AI), Banking Industry, Customer Interactions

"THE EVOLUTION OF CHATBOTS: CLOUD AND AI SYNERGY IN BANKING CUSTOMER INTERACTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.i127-i137, October-2023, Available :http://www.jetir.org/papers/JETIR2310718.pdf

"THE EVOLUTION OF CHATBOTS: CLOUD AND AI SYNERGY IN BANKING CUSTOMER INTERACTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppi127-i137, October-2023, Available at : http://www.jetir.org/papers/JETIR2310718.pdf