It is no secret that in today's fast-moving banking industry, customers require immediate replies, the regulatory environment mandates strict compliance, and there is always an element of uncertainty about market conditions, which change every single moment. In such conditions, traditional request/response architectures appear to be obsolete. Indeed, today banks have access to huge amounts of data: from transaction flows and interactions with customers to market data and information coming from connected devices thanks to Internet-of-things. The problem is how to act upon this data on-the-go with required scalability and high level of security. Event-Driven Architectures built on top of Apache Kafka are designed to address those challenges.
Indeed, in the context of the most recent research work published by the author (Me, Senior technical lead Anil Mandloi) under the title "Event-Driven Architectures with Apache Kafka: Supporting Agentic AI and Big Data Analytics in Banking Transformations" (International Journal of Computer Applications, February 2026), Kafka can serve as the backbone for supporting modern financial organizations in the era of big data analytics and agentic AI.
The Shift from Batch to Real-Time: Why EDA Matters Now
