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AI Hype Faces Reality Check in Treasury Forecasting
Christian Dembowski puts AI to the test in a real-world treasury forecasting exercise, comparing neural networks, machine learning models and traditional statistical techniques. The results challenge prevailing assumptions about AI's capabilities, revealing that established forecasting methods often outperform more advanced approaches in balance sheet management. The session offers a pragmatic framework for evaluating AI investments, governance requirements and measurable business value.
Nov 06, 2026
Christian Dembowski
Christian Dembowski, Executive Director, Head of Group Treasury Data Analytics, DZ Bank AG
Tags: ALM, Treasury and Liquidity Risk


The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
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