Combining Hands and Brains Improving Data Quality by Joining Robotic Process Automation and Arti cial Intelligence
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2020-02-01
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en
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Abstract
The aim of this research was to look into the combination of Robotic Process Automation (RPA)
and Arti cial Intelligence (AI) to improve data quality. A theoretical research was conducted to
determine in what cases the approach should be RPA, AI, both or neither, where mainly the com-
bination of features of the issue is leading. In addition, it was researched what it takes to combine
RPA and AI, both technically and organisationally, which resulted in recommended steps to sys-
tematically solve data (quality) issues, including choosing the approach. The recommendations
were further supplemented by insights from a Proof of Concept (PoC) on the speci c issue of auto-
matically detecting collaterals that are rented out without the bank knowing it. The results showed
the potential of combining RPA and AI, under the condition that the reliability of the results can
be proven and a proper dataset is available in terms of enough known examples of possible values
to train and test on and enough variables to base the prediction on. If these conditions are not
met, an investment should be made in additional research on AI techniques that use less known
examples in combination with methods to explain the results.
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Faculteit der Sociale Wetenschappen