AI Disrupt: Financial Markets
summary
Europe positions itself as a fintech hub with concrete AI use cases: fraud scoring, risk models, robo‑advisor portfolio tuning and backend quant support, plus chatbots for personalized front‑end service. Teams use deep neural nets—notably long short‑term memory (LSTM)—and cheaper compute (10x per five years) to power image/speech recognition and market prediction. Trials include invisible payments (Google retail pilots, SK Telecom) and biometric checkout like selfie pay; banks increasingly run AI in the back end while tech platforms control the front end.
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chapters (15)
- 0:00Intro
- 2:50How is AI being used
- 7:15What is machine learning
- 9:41What we take from machine learning
- 12:26Artificial neural networks
- 16:54Payments
- 19:43Banks
- 24:36Apps
- 26:48AI on the board
- 30:24Hardware advances
- 31:36AI companies
- 34:36AI first world
- 36:13Neural networks
- 38:01Machine learning
- 39:02Future of finance
