This paper presents a pioneering study on benchmarking machine unlearning methods within a federated setting for tabular data…
The purpose of this study is to develop the world’s first psychographic market segmentation model that supports personalization, customer education, customer activation, and customer engagement strategies with financial advice robots.
We conducted a study using real-time data from a Fintech lender in the Czech Republic to assess the effectiveness of a new financial literacy based psychometric credit scoring model (PSM) in improving access to finance for micro, small and medium sized enterprises (MSME) sector…
The Ukraine war, high inflation and rising interest rates are jeopardising people’s ability to afford essential items such as food and energy, causing a widespread sense of vulnerability worldwide. Consequently, access to finance has become increasingly challenging for vulnerable consumer groups…
This paper contains research from across the UK and the Netherlands to examine to what extent lenders can advance their credit decisions with individual risk assessments with artificial intelligence (Al).
The goal of this paper is to analyze the customer experience of digital-driven financial advice systems.
