Information technology, especially the Internet of Things and artificial intelligence, has been growing in the world, and increasingly many people use conversational assistants (CAs) and other intelligent virtual objects to monitor balances, send messages, pay, and track bank accounts or other financial assets. These intelligent systems optimize transaction processing through contextual awareness, adapting to individual user behaviors while maintaining robust security protocols. From hyper-personalized recommendation engines to conversational interfaces, these technologies create seamless payment experiences by predicting user needs, preventing fraud, and suggesting optimal payment methods. The architecture combines transactional, behavioural, contextual, and financial profile data through multi-layered processing pipelines, while privacy-preserving techniques like federated learning and differential privacy protect sensitive information. Integration with legacy payment infrastructure poses challenges due to architectural mismatches, yet adapter layers successfully bridge technological generations.
Manoj G (Fri,) studied this question.