… Artificial Intelligence is making its way into all parts of our business and private lives. The debt
collection sector … The purpose of this paper is to discuss AI in debt collection. It provides an …

… in how big data, artificial intelligence, machine learning, and predictive analytics can be …
-driven machine learning method to optimize the collection process for a debt collection agency. …

… examines the role of artificial intelligence (AI) in facilitating the non-judicial collection process
… In this paper, we collaborate with a debt collection company in the Netherlands, which we …

… examines the role of artificial intelligence (AI) in facilitating the non-judicial collection process
… In this paper, we collaborate with a debt collection company in the Netherlands, which we …

… For this purpose, when we review related studies in the literature within the framework of
debt collection and debt collection agencies, we see mostly studies about customer payment …

… technologies already see significant payments in their loan portfolios, ie confirm the feasibility
and effectiveness of using artificial intelligence in debt collection. They also identified the …

… digital ecology comprising new digital entrants that use artificial intelligence, machine
learning, and data mining. A fourfold framework provides a lens through which the new fintech …

… for analyzing the performance of the debt collector. We have developed the … and collection
percentage. We have used the private debt collection dataset to assess the debt collector's …

… In this study, we focus on improving the debt collection systems. Classification algorithms
are very beneficial for such problems. We decide to use Naive Bayes classifier since the logic …

… Abstract: How good is artificial intelligence (AI) at persuading humans to perform personally
costly actions that carry a moral valence? We study the effectiveness of phone calls made to …