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Role | Deep Tech Used | Industry | Potential Vector | Potential Vector Benefit |
---|---|---|---|---|
Chief Risk Officer | Machine Learning | Asset Reconstruction | Risk | 36% |
Developing credit risk models with machine learning enhances prediction accuracy by analysing various data sources and variables. These models can assess creditworthiness more comprehensively, leading to more accurate credit risk assessments and informed lending decisions in financial institutions.
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