AI-driven automation in cloud banking: improving operational efficiency and decision-making

In the cloud banking sector, AI driven automation is making a revolution of the financial sector by making it efficient in its operations and decision-making processes. This is research on how artificial intelligence (AI) technology i.e., Machine Learning, Natural language processing (NLP) and Predictive analytics can be integrated with the cloud-based banking infrastructure. This study examines the ways in which AI automation accelerates the processing of transactions, decreases the operation cost, reinforces the security measures, and enhances the delivery of customer service with intelligent virtual assistant. The methodology adopted is to explore the existing frameworks and secondary data to outline the impact of AI in the operations of cloud banking. We have established the main benefits used to show that the two concepts enhance the usage of AI in organizational activities, decision-making, and management of business risks. The paper also discusses the challenges regarding acquiring AI adoption, for example, data privacy, scalability and ethical issues, and presents strategies to deal with these challenges. This research focuses on utilizing AI to advance innovation of technological application in the banking industry and acts as a foundation enabling exploration of future emerging AI applications.