Gain insights on how your organisation will benefit from AI. Here we share our insights and experiences in AI.


Business value with the Evispot ML platform – 6 key features

Commercial value is generated by the Evispot AI platform in a few ways.


Combine machine learning and human intelligence to build accurate credit decisions.

Machine learning is a powerful tool to use when working with credit decisions but how can we combined it with internal expertise and know-how?

Insight Paper

Understanding the impact and effect of feature selection

In this insight paper  you will learn why the feature selection is an integral part of any successful machine learning project. 


Mitigate bias in credit decision models with Disparate Impact Analysis

How can we be sure the Machine learning decisions are free from bias and or discrimination?


On-demand Webinar

In this webinar you will get a high-level introduction to machine learning in credit decisions.

Insights paper

Non-parametric ensemble machine learning

In this insight paper you will learn what non-parametic ensemble machine learning means and why it is beneficial to use.


Three questions to ask your AI vendor about explainability

Before making any investment in AI, you must ask the right AI-questions to be able to utilize all the benefit AI can give you – in this post we take the issue with explainability as an example.


How AI improves Credit Underwriting

How can you as a creditor increase your lending portfolio without adding risk?


Three Reasons Why AI Enables You to Find Better Borrowers

This post includes three reasons why AI outperform traditional credit scoring methods (e.g scorecard).


Two lessons learnt taking AI from idea to production

Are you interested to start using AI?  Here we present two lessons helping your organization to use AI.


Machine learning in credit decisions

In this whitepaper you will learn how you can use machine learning for smarter lending.

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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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