Too much data, too little payoff: The challenge of turning information into better products and decisions
Summary
This article examines how banks and fintech firms struggle to turn large volumes of customer data into better lending decisions and more personalized financial products. Panelists from FICO, Mercado Libre, and Floid discuss the value of contextual data, real-time inference, and consent-based data sharing. They also highlight the need for responsible data governance, clearer communication, and explainable AI in financial services. The discussion points to open finance and specialized AI models as key enablers for future credit access and operational efficiency.
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Business Intelligence and Analytics
Governance, risk and compliance
Analytics and Reporting
