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Machine learning: When prediction becomes unpredictable

27/07/2022

How secure and explainable machine learning can open up new potential for financial institutions.

AI in asset management: between man and machine

16/08/2023

Interview with Pablo Hess, one of the two fund managers of Tungsten TRYCON AI Global Markets, about the opportunities and difficulties of using AI in investment processes.

Use of AI in interest rate derivatives pricing – what are the benefits of hybrid approaches?

10/12/2025

Artificial intelligence (AI), in particular machine learning (ML), opens up new possibilities for improving the accuracy and efficiency of the underlying calculations. However, it is important to consider not only the opportunities but also the risks of these technologies – including model transparency and associated costs.

Derivative pricing and risk management with neural networks

02/11/2022

Currently, the main models used for derivative pricing are based on arithmetical models. Their weakness, however, is their performance. Derivative valuation using machine learning may be the future in several areas of financial institutions.

A look back at the banking industry’s year 2025

15/12/2025

Which developments, opportunities and prospects shaped the banking industry? Which regulatory frameworks and innovations need to be taken into account? What are the HR and digital trends in the financial sector? What were the top articles of 2025?

European Asset Management Study 2024: remaining cautious despite market growth

03/12/2024

Global AUM growth regained speed and the market grew by around 9%. Despite this upswing, however, market growth alone is no reason to sound the all-clear!

Many opportunities for AI in the financial sector: Visa is one example

15/01/2024

Jeroen van Oerle, portfolio manager, Global FinTech, discusses the application of generative AI, using Visa as an example.

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Cybercrime and cybersecurity: opportunities and risks through the use of AI

10/01/2024

The use of artificial intelligence (AI) is changing the threat landscape and presenting cybersecurity systems with new challenges that should be addressed in terms of corporate digital responsibility (CDR).