Dr. Luís Moreira-Matias // Head of Data Science // Monedo 

Luis authored 50+ high-impact peer-reviewed publications on topics related to Artificial Intelligence. Moreover, he counts with 3 granted patents in thus area. His team at Monedo focuses on solving problems around consumer credit scoring, pricing, affordability, and fraud by overcoming boundaries on challenging hot topics in this area such as AutoML, Reject Inference and Concept Drift, among others.

18:10 – Keynote: “The 7 Deadly Sins of Applied Machine Learning in Finance (…or maybe any other industry)”

„Nowadays, Data Science is an unrealistic hype in many industries – Finance is no exception. The fact is that, albeit it is fun and relatively easy to design advanced machine learning (ML) as a fancy prototype in someone’s laptop, it is extremely hard to transform them into real but yet profitable software products. The reasons (and sins) are seven-fold: Time, Regulation, Scale, Automation, Customers (!), Scientists (!!!) and… the Machine Learning itself (!?!!?!). In this talk, I will highlight why those sins exist, the assumptions that they bring with and the pitfalls that they lead to by bringing up ML use cases from Financial world. Together, we will visit the posed challenges, the common pitfalls and solutions that my team at Monedo has brought up to mitigate some of them.”

Die Veranstaltung wird in Kooperation mit der Diginomics Research Group der Universität Bremen durchgeführt.

The Diginomics Research Group at the University of Bremen examines research questions relating to the digitization of labor, capital, and product markets. Our faculty has defined twelve research focuses, as part of which graduate students jointly investigate with their supervisors economic, moral, and psychological research questions with an emphasis on new digital markets.

18:50 – Diskussion