All Publications
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Leveraging Transactional Data for Micro and Small Enterprise Lending
This case study examines the data and experience of two fintechs in India that use different sets of transactional data for credit scoring.
Supervisory Implications of Artificial Intelligence and Machine Learning
This Note describes some of the uses of artificial intelligence and machine learning by financial institutions; considers the supervisory responses to such uses; and highlights some ways in which supervisory authorities can themselves use AI and ML to improve the effectiveness and efficiency of supervision.
Big Data: A Big Disappointment for Scoring Consumer Credit Risk
Evaluating the promise of big data to lead to better products/services for the unbanked/underbanked