ARTICLE

AI and Automation in Commercial Lending


Published by the Journal of AI, Robotics & Workplace Automation, the professional and academic journal for all those involved in researching and applying artificial intelligence and related techniques or technologies
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Progress in artificial intelligence and automation has improved many parts of financial services. However, these techniques have struggled to make inroads in many areas of commercial lending - largely because of the relative unavailability of sufficient data.

Traditional techniques of extrapolation from historical data are also inadequate in times of significant disruption (such as the COVID-19 pandemic). In this paper we discuss these challenges and present techniques such as driver analysis, nowcasting and the use of AI to enable granular sub-sector classification and forecasting.

Access this paper to learn how your bank can enable a greater use of data-driven, AI-augmented decision making to drive profitable growth in your commercial loan book.