Overview
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Explore the frontier of big data in risk management through this 59-minute panel discussion from the Milken Institute. Discover how machine learning is revolutionizing risk analysis by uncovering unknown trends and enabling real-time access to high-frequency data. Learn from CEOs of innovative big data companies as they reveal exciting new discoveries and applications of sophisticated technology. Gain insights into topics such as cybersecurity, regulatory environments, behavioral science, and the balance between security and privacy. Understand the evolution of risk management, the importance of culture, and the role of human biases in decision-making. Delve into discussions on knowledge graphs, trust, and the Chinese social credit system. Engage with expert perspectives on the interplay between human expertise and machine learning in risk assessment and management.
Syllabus
Introduction
Panel Overview
Trend Micro
Sigma Ratings
Origin Story
Starling Trust Services
Looking for keys under the street lamp
Expanding the streetlight
Evolution of risk
Culture does matter
Data are clues
Bias
Knowledge Graph
Behavioral Science
Human Element
Biases
Trust
Regulatory Environment
Security vs Privacy
Chinese Big Data
Social Scores
China
Audience Questions
Jackson Mueller
RiskTech
Cybersecurity
Questions
Network effects
Security perspective
Expert vs machine
Taught by
Milken Institute