The Science Behind Delightful User Experience
summary
PayPal claims an in-house end-to-end platform that blurs Big Data and Fast Data to accelerate real-time fraud detection, handling $282B annual payment volume while keeping near-continuous availability. The system pairs deep analytics with an event-driven, fast-data, in-memory architecture to detect emerging fraud patterns and deploy countermeasures in milliseconds. It leverages huge historical stores — about 50 PB of data — and operationalizes complex models per transaction to reduce losses and limit customer friction.
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chapters (8)
- 0:00PayPal and UX introduction
- 3:58Trust in financial transactions
- 7:41Real-time data and fraud prevention
- 13:02Machine learning for transactions
- 17:17Growth strategies for revenue
- 24:30UI and module optimization
- 30:24Career opportunities
- 35:29Conclusion
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