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Remedying Indo's Broken Credit Analysis Using AI: Wildiyanto Yawin of Finskor
Manage episode 383620998 series 3382192
"An entrepreneur must start from empathy for those people that feel the problem," shared Wildiyanto Yawin, cofounder of SME credit analytics platform Finskor, "and by that motivation they bring impact and help others by solving the problem. " Finskor is an AI company providing SaaS to automate and digitize the credit analytics process for Indonesia's SME's. With IDR600 trillion in credit needs that cannot be served by traditional banks, Finskor labors intensively to build enough trust to onboard these banks, many of which are intensely risk averse and are (understandably) concerned over data security. The company leverages AI to replace the error-prone manual process of reviewing hundreds of pages of an SME's financial statements, which serves to reduce fraud and create much more reliable inputs for credit scoring. Yawin views Finskor's longer term success in advancing AI to compensate for Indonesia's notoriously fractured and "noisy" financial data sources.
136 episódios
Manage episode 383620998 series 3382192
"An entrepreneur must start from empathy for those people that feel the problem," shared Wildiyanto Yawin, cofounder of SME credit analytics platform Finskor, "and by that motivation they bring impact and help others by solving the problem. " Finskor is an AI company providing SaaS to automate and digitize the credit analytics process for Indonesia's SME's. With IDR600 trillion in credit needs that cannot be served by traditional banks, Finskor labors intensively to build enough trust to onboard these banks, many of which are intensely risk averse and are (understandably) concerned over data security. The company leverages AI to replace the error-prone manual process of reviewing hundreds of pages of an SME's financial statements, which serves to reduce fraud and create much more reliable inputs for credit scoring. Yawin views Finskor's longer term success in advancing AI to compensate for Indonesia's notoriously fractured and "noisy" financial data sources.
136 episódios
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