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RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance

Authors: Dennis Collaris, Mykola Pechenizkiy, and Jarke J. van Wijk

Published in: OASIcs, Volume 124, Commit2Data (2024)


Abstract
We conducted the RATE-Analytics project: a unique collaboration between Rabobank, Achmea, Tilburg and Eindhoven University. We aimed to develop foundations and techniques for next generation big data analytics. The main challenge of existing approaches is the lack of reliability and trustworthiness: if experts do not trust a model or its predictions they are much less likely to use and rely on that model. Hence, we focused on solutions to bring the human-in-the-loop, enabling the diagnostics and refinement of models, and support in decision making and justification. This chapter zooms in on the part of the project focused on developing explainable and trustworthy machine learning techniques.

Cite as

Dennis Collaris, Mykola Pechenizkiy, and Jarke J. van Wijk. RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance. In Commit2Data. Open Access Series in Informatics (OASIcs), Volume 124, pp. 8:1-8:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{collaris_et_al:OASIcs.Commit2Data.8,
  author =	{Collaris, Dennis and Pechenizkiy, Mykola and van Wijk, Jarke J.},
  title =	{{RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance}},
  booktitle =	{Commit2Data},
  pages =	{8:1--8:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-351-5},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{124},
  editor =	{Haverkort, Boudewijn R. and de Jongste, Aldert and van Kuilenburg, Pieter and Vromans, Ruben D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Commit2Data.8},
  URN =		{urn:nbn:de:0030-drops-213655},
  doi =		{10.4230/OASIcs.Commit2Data.8},
  annote =	{Keywords: Visualization, Visual Analytics, Machine Learning, Interpretability, Explainability, XAI}
}
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