Session Description

Recent research from PwC, KPMG and others has highlighted how organised frauds are increasing in speed and scale. The past year has seen machine learning and other automation techniques emerge to commit fraud. The current preventive measures are no longer effective at confronting the more advanced, nuanced attacks. Why is AI ideal for fraud detection? Supervised machine learning can train fraud detection models better than manually-based approaches. Moreover, combining supervised and unsupervised machine learning into a single fraud prevention algorithm enables AI to find anomalies in emerging data.

Attend this session to learn how to protect your revenue streams as fraud becomes more sophisticated.

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