This case study examines the data and experience of two fintechs in India that use different sets of transactional data for credit scoring.

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.

Evaluating the promise of big data to lead to better products/services for the unbanked/underbanked