In the fast-evolving landscape of finance, Non-Banking Financial Companies (NBFCs) are orchestrating a silent revolution, rewriting the rules of credit evaluations. No longer confined to traditional metrics, NBFCs are embracing the transformative potential of Machine Learning (ML) to redefine the way creditworthiness is assessed. NBFCs Embrace Machine Learning NBFCs are breaking free from the shackles of conventional credit assessment methods. Incorporating a diverse range of alternative data sources such as tax invoices, device information, and transaction records, these financial entities are broadening their scope. This move, according to Bhutada, equips NBFCs with a more nuanced understanding of an individual's creditworthiness, paving the way for enhanced risk management. Also Read: The Impact of SaaS Model on NBFCs Unlocking The Power Of Alternative Sources In the digital age, data is the new currency, and NBFCs are capitalizing on this paradigm shift. By leveraging alterna...
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