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Explore how machine learning transforms modern payment ecosystems in this 37-minute conference talk from Conf42 ML 2026. Discover the evolution from static rule-based systems to intelligent, real-time decision-making platforms that power today's payment infrastructure. Learn about the modern payment ecosystem's domains, interdependencies, and latency demands, then examine how ML integrates throughout the entire payment lifecycle from merchant acquisition to operations. Dive into three detailed use cases: automated risk scoring for merchant onboarding, real-time fraud detection and smart transaction routing, and predictive monitoring with auto-scaling capabilities. Understand the system-level benefits including scalability, automation, and sub-100ms intelligence processing. Examine ML as a platform layer that transforms raw data into business value through the progression of data to intelligence to applications. Address critical challenges including data quality, explainability, latency constraints, monitoring requirements, and system integration complexities. Look ahead to the future of payments with embedded finance, personalization, cross-border innovations, and autonomous payment systems. Gain practical insights through a live demonstration of a Kafka-based fraud detection streaming pipeline, and understand how ML serves as the foundational layer for next-generation payment platforms.
