Explore the rise of digital banking in China and the innovative use of federated AI technology in a talk by Tianjian Chen from WeBank. Learn about the rapid growth of online banking services, reaching nearly half of China's population, and discover how WeBank leveraged AI to become a leading digital bank. Delve into the challenges of data regulation, customer identity verification, and risk evaluation, and understand the implementation of federated machine learning to address these issues. Gain insights into WeBank's AI-driven approach, including use cases, model accuracy improvements, and project roadmaps. Examine the core components of their federated AI system, including submodels, version control, and online feature engineering. Discover collaborative efforts like the Harbor Project and Angel Mission, and access resources to further explore this transformative technology in the banking sector.
Overview
Syllabus
Introduction
Where is WeBank
Why digital banking is blooming
Chinas massive construction projects
unprecedented consumer market on the mobile internet
digital by AI technology
customer identity
risk evaluation
AI dream experience
GDPR
Data Regulations
Predator Learning
Exchangeable Encryption
Machine Learning
Use Cases
Digital Invoice
Model Accuracy
Project
Roadmap
Project Landscape
Core Component
Submodels
Model Version Control
Online Feature Engineering
Collaborations
Harbor Project
Angel Mission
Resources
Taught by
Linux Foundation
