Fraud Prevention in Mobility Services with Data Streaming using Apache Kafka and Flink with AI Machine Learning
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Fraud Detection in Mobility Services (Ride-Hailing, Food Delivery) with Data Streaming using Apache Kafka and Flink

Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments. But this real-time nature also opens the door to sophisticated fraud schemes—ranging from GPS spoofing to payment abuse and fake accounts. Traditional fraud detection methods fall short in speed and adaptability. By using Apache Kafka and Apache Flink, leading mobility platforms now detect and block fraud as it happens, protecting their revenue, users, and trust. This blog explores how real-time data streaming is transforming fraud prevention across the mobility industry.
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The State of Data Streaming for Financial Services in 2023
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The State of Data Streaming for Financial Services

This blog post explores the state of data streaming for financial services. The evolution of capital markets, retail banking and payments requires easy information sharing and open architecture. Data streaming allows integrating and correlating data in real-time at any scale. The foci are trending enterprise architectures for data streaming and customer stories. A complete slide deck and on-demand video recording are included.
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