This presentation showcases how modern fraud detection systems can be transformed using advanced machine learning, real-time data processing, and scalable infrastructure. It covers key challenges such as handling large data volumes, outdated models, and the lack of automation, and demonstrates how technologies like OpenShift AI, Kafka, and Flink enable efficient, accurate, and future-ready fraud detection.