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AI-Based Credit Risk Tools Can Be Ruined By Noisy Data

The Horizons Tracker

One’s credit score is often hugely important, with it very difficult to secure substantial loans, such as mortgages, without a healthy credit rating. The researchers themselves used AI to analyze vast quantities of consumer data, which allowed them to test various credit-scoring models. Risk assessment.

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How Cashless Payments Affect Our Credit Worthiness

The Horizons Tracker

Assessing credit risk. Traditionally, lenders use a range of criteria to assess our credit risk, but the new wave of fintechs entering the market tend to rely more on alternative data that goes beyond your credit score. Verifiable records.

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Use Data to Fix the Small Business Lending Gap

Harvard Business Review

And limited credit is in part caused by the difficulty of predicting which small businesses will and won’t succeed. In the past, a community bank would have a relationship with the businesses on Main Street, and when it came time for a loan, there would be a wealth of informal information to augment the loan application.

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Use Data to Fix the Small Business Lending Gap

Harvard Business Review

And limited credit is in part caused by the difficulty of predicting which small businesses will and won’t succeed. In the past, a community bank would have a relationship with the businesses on Main Street, and when it came time for a loan, there would be a wealth of informal information to augment the loan application.

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A Practical Approach to Reading Signals in Data

Harvard Business Review

Prototypically, a bank officer would make credit decisions for applicants based on the applicants' "character" — which church they attended, which school their kids were in, etc. With fairly few signals in their models, the FICO score doesn't have the ability to distinguish between credit risk in a generally high risk group.