As an early adopter of an Intel® technology-based intelligent, artificial neural-network risk-control system, China UnionPay has demonstrated the value of using machine learning to drive proactive, highly efficient and accurate risk identification and mitigation workflows. It used a platform based on Cloudera CDH* and Apache Spark* compute clusters to boost accuracy by up to 60 percent. Challenge Like financial institutions all over the world, China UnionPay is seeing a significant growth in its transaction volumes. This brings opportunities, but also a corresponding increase in fraud threats and other risks. Its existing risk-control system was rules-based, which limited the agility and speed with which the organization could identify and respond to emerging threats. It needed a

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