Use case in production
Artificial Emotional Intelligence in Finance
Lead Data Scientist, troy GmbH
Shannon Kehoe is passionate about using technology to improve people’s everyday lives. While working towards her BS in International Affairs & Modern Languages & minor in Economics, Shannon found herself relying more & more on programming & statistics to answer questions about human behavior. After working in marketing & sales analytics for several years, Shannon returned to Georgia Tech to pursue a Masters of Science in Analytics. In 2019, Shannon moved to Frankfurt am Main, Germany, to work as a data scientist. Currently, she is the Lead Data Scientist at troy, a German fintech startup. In her spare time, she volunteers as the Women in AI Ambassador for Germany & on the Georgia Tech MS Analytics advisory board.
Research shows that around 60% of customers who fall behind with their financial responsibilities do so through no fault of their own. This insight has even sharpened during the global Covid-19 pandemic. These individuals are often in emotional distress: depressed, stressed, or even angry. Identifying a customer's current emotional state without asking them directly allows troy to guide them through the debt payment process better, alleviating stress for the individual and preserving a relationship between our client and their customer. With this empathetic approach, both in our technical and human processes, troy is leading a major paradigm shift in the debt collection industry.