The technology should focus on several key areas, enabling early corrective action; analyzing both structured and unstructured data to identify related party or preferential transactions, saving resources for lenders and resolution professionals; automating routine tasks in post-disbursement credit monitoring
The attendant risks like algorithmic bias, explainability of decisions, data privacy, etc., are high. To harness the benefits, it is critical to address the attendant risks early in the adoption cycle
The task of supervision may be challenging but it is also essential for ensuring the stability and resilience of the financial system
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