The Horizons Tracker

NOVEMBER 26, 2021

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 post AI-Based Credit Risk Tools Can Be Ruined By Noisy Data first appeared on The Horizons Tracker.

Credit Risk 77

Credit Risk Credit Scoring Tools Credit Rating 77

Strategy Driven

JUNE 18, 2024

High-quality data is indispensable for informed decision-making, operational efficiency, customer satisfaction, regulatory compliance, and innovation. Innovation and Competitive Advantage Innovation is a key component of growth and competitive advantage.

Quality 95

Quality Supply Chain Compliance Strategic Planning 95

The Horizons Tracker

MARCH 9, 2022

The users of cashless payment systems can benefit from this approach by virtue of lower interest rates as they generally have a lower risk of defaulting. Assessing credit risk. The authors argue that these benefits could drive more people towards cashless payment systems.

Credit Scoring 126

Credit Scoring Credit Risk Banking Business Model 126

The Horizons Tracker

DECEMBER 22, 2022

“If you can think back to a time when banks had branches with local managers, it has been very well-documented that they are much better at assessing credit risks than people back in head office, for example,” the authors explain.

Motivation 121

Motivation Power Delegation Credit Risk 121

The Horizons Tracker

JUNE 2, 2020

The very act of diversifying trade patterns itself does not come without any risk, as transport costs are likely to grow, and companies are forced to operate in unfamiliar markets with unfamiliar bureaucracy. Add in currency and credit risks, and it’s by no means an easy pivot to make.

Supply Chain 92

Supply Chain Hedge Bureaucracy Credit Risk 92

Skip Prichard

AUGUST 2, 2019

Technology change is speeding business up and providing an edge for disruptive innovators. We believe good organization problem solving will increasingly utilize advances in artificial intelligence to predict patterns in consumer behavior, disease, credit risk, and other complex phenomena. But that isn’t the whole story.

Disaggregation 81

Disaggregation McKinsey Skills Gordon 81

Harvard Business Review

OCTOBER 24, 2018

” For example, if a person was deemed a low credit risk, granted a loan, and then defaulted on that loan that would be a false positive. The model falsely predicted that the person had low credit risk. And it needed to operate alongside existing data science workflows so the innovation process is not hindered.

Credit Risk 8

Credit Risk Tools Objective Ethics 8