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Why Causality-Enabled Responsible AI Is the New Imperative for Financial Institutions
AI is redefining finance, but trust remains its currency. As AI systems make increasingly high-stakes decisions—who gets a loan, who’s flagged for AML, who receives an offer—the cost of error multiplies.
The message for financial leaders is clear:
A black-box AIÂ might optimize for accuracy but can expose the bank to unseen bias, regulatory penalties, or wasted budgets.
A Responsible AIÂ framework builds resilience, customer confidence, and long-term value.
Steven Ho
Oct 234 min read
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Causal Disease Management – Explainable Risk Modeling and Intervention for Diabetes
Empowering Clinicians and General Populations with Actionable Insights Diabetes is one of the world’s fastest-growing health crises,...

Yu-Feng Wei
Mar 253 min read
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Google Meridian vs. Vizuro Kairos: the Pursuit for Optimal Omnichannel Marketing
Authors: Drs. Hung-Ken Chien and Yu-Feng Wei, Co-Founders of Vizuro Introduction In the ever-evolving pursuit to measure promotional effectiveness, marketing mix modeling (MMM) has long been the norm to assess campaign lifts and help allocate their spending. However, the emergence of omnichannel marketing in recent years has imposed a great challenge to the conventional MMM methodology, due to its requirements for high tactic mix and segment granularity. Coincidentally, both

Yu-Feng Wei
Feb 124 min read
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