P.H. — Risk Analytics
Paloma Hereford writes about machine-learning systems for fraud, risk, and operational decision-making. Her work focuses on what happens between a model and the real system it becomes part of: deployment, failure modes, uncertainty, agentic risk, and the use of regulatory and market signals in high-stakes environments. The publication is aimed at readers interested in applied ML, fintech, AI governance, and decision systems.
Category: Tech