Fraud Prevention with Apache Kafka in Real Time in Financial Services and Banking
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Fraud Prevention in Under 60 Seconds with Apache Kafka: How A Bank in Thailand is Leading the Charge

In the fast-paced world of finance, the ability to prevent fraud in real-time is not just a competitive advantage – it is a necessity. For one of the largest banks in Thailand Krungsri (Bank of Ayudhya), with its vast assets, loans, and deposits, the challenge of fraud prevention has taken center stage. This blog post explores how the bank is leveraging data streaming with Apache Kafka to detect and block fraudulent transactions in under 60 seconds to ensure the safety and trust of its customers.
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The State of Data Streaming for Insurance in 2023
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The State of Data Streaming for Insurance

This blog post explores the state of data streaming for the insurance industry in 2023. The evolution of claim processing, customer service, telematics, and new business models requires real-time end-to-end visibility, reliable and intuitive B2B and B2C communication, and integration with pioneering technologies like AI/machine learning for image recognition. Learn from use cases of Allianz, Generali, Policygenius, and more. A complete slide deck and on-demand video recording are included.
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Cloud Native Core Banking Platform powered by Apache Kafka Data Streaming
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Cloud-native Core Banking Modernization with Apache Kafka

Most financial service institutions operate their core banking platform on legacy mainframe technologies. The monolithic, proprietary, inflexible architecture creates many challenges for innovation and cost-efficiency. This blog post explores three open, elastic, and scalable banking solutions powered by Apache Kafka to solve these problems.
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