Whitepaper


Leveraging machine learning for smarter lending

Machine learning in credit decisions

Download our whitepaper Leveraging machine learning for smarter lending and obtain insights into the technology behind 100% transparent machine learning models.

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Lenders need to find the balance between improving access to finance and preventing over-indebtedness. This necessitates the use of robust predictive models, but it is often not possible to use the most predictive algorithms due to a lack of transparency.

Until recently, the adoption of advanced machine learning (ML) models in the lending industry has been hindered by an inability to explain outcomes that drive decisions. However, progress has been made in terms of improving both model predictiveness and interpretability. With the help of relevant software, it is now possible to leverage the power of ML to a greater extent in making credit decisions.

In fact, clients using such software have experienced average increases in loan acceptance rates of 20%, with limited additional risk.

In this white paper, we introduce you to the past and future of credit decision technology. By reading this, you will gain a basic understanding of the use of ML in the credit industry, including its challenges and its solutions.

We will also introduce the Evispot transparency tool, Traits.

On-demand webinar
 


How to transform your credit decision processes into Machine Learning
 

Insight paper
 


Making the case for non-parametric ensemble machine learning models

Let’s chat

And learn how to solve your most complex and urgent business problems with AI

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Machine learning in credit decisions

Leveraging machine learning for smarter lending and obtain insights into the technology behind 100% transparent machine learning models.

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