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Machine learning is more than a technical trend—it’s a key competency for the future. For finance professionals, this means: those who start engaging with ML today will remain competitive tomorrow. Data-Driven Decisions Gain ImportanceFinancial markets, customer behavior, and risks are constantly changing. ML enables quick and informed responses based on large datasets—a clear advantage over […]

The financial sector is one of the most heavily regulated industries—and for good reason: it’s about trust, stability, and the protection of sensitive data. The use of artificial intelligence brings new opportunities but also significant regulatory challenges. Transparency and ExplainabilityA central issue is the so-called “black box”: many ML models, especially deep learning, are difficult […]

Credit risk assessment is a core task in finance—it determines whether and under what conditions a loan is granted. Traditional models often rely on rigid rules and linear regressions. However, more and more financial institutions are turning to machine learning to evaluate risks more accurately and quickly. A look at a typical case study: Starting […]