Completed
Wrap-Up, Q&A, and How to Connect
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
The Role of Machine Learning in Today's Payment Ecosystems
Automatically move to the next video in the Classroom when playback concludes
- 1 Welcome & What This Talk Covers ML in Payments, Not Algorithms
- 2 Speaker Intro: Real-World Payments Experience & Why ML Matters
- 3 Agenda Overview: Lifecycle Touchpoints, Benefits, Future & Risks
- 4 Modern Payment Ecosystem 101: Domains, Interdependencies & Latency Demands
- 5 Rules vs ML: From Static Thresholds to Real-Time, Personalized Decisions
- 6 Where ML Fits in the Payment Lifecycle Acquisition → Ops
- 7 Use Case #1: Merchant Acquisition—Automated Risk Scoring & Faster Onboarding
- 8 Use Case #2: Transaction Authorization—Real-Time Fraud Scoring & Smart Routing
- 9 Use Case #3: Operations—Predictive Monitoring, Auto-Scaling & Incident Response
- 10 System-Level Wins: Scalability, Automation & Sub-100ms Intelligence
- 11 ML as a Platform Layer: Data → Intelligence → Applications → Business Value
- 12 Challenges & Considerations: Data Quality, Explainability, Latency, Monitoring, Integration
- 13 The Future of ML in Payments: Embedded Finance, Personalization, Cross-Border & Autonomy
- 14 Key Takeaways: ML as the New Foundation for Payment Platforms
- 15 Quick Demo: Kafka + Simple Fraud Model Streaming Pipeline
- 16 Wrap-Up, Q&A, and How to Connect
