In the last five years, Artificial Intelligence (AI) and Machine Learning (ML) has moved from being a proprietary tool of tech companies to an open-source platform available to all. Its...
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Where it all adds up
In April, we published an article showing that Machine Learning (ML) can improve the prediction accuracy of the Cure Rate (CR) in Loss Given Default (LGD) models. This is the...
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Why do Financial Institutions (FI) have a major role to play in the transition to sustainability (ESG)?
New Economy and Amsterdam Data Collective have entered into an inspiring and ongoing conversation, discussing the potential role of governments and financial institutions in the transition to a more sustainable…
Integrating Machine Learning methods into your credit risk modelling landscape is a great idea. It allows the user to find new, potentially non-linear, patterns in the data. However, simply applying…
Credit has been fueling economic growth and activity across the globe since early 19th century (sources: Federal Reserve, Visual Capitalis). And the importance of credit has not changed in the…
The insight of Frans Boshuizen, sector lead Financial Services at Amsterdam Data Collective (ADC), on behavioural modelling was the base for the ADC roundtable on October 22, 2020. Experts from…
Short-cycle experimentation and innovation briefly working hand-in-hand as equal partners. Our recent operational risk management project with De Volksbank demonstrates just how powerful a tool this can be to quickly...
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