Case Study

A major regional bank uses Aicadium’s explainable financial forecasting for strategy and performance intelligence


A major regional bank wanted explainable forecasts to generate ideal projections of portfolios to target, and better insight into how the bank’s performance would react to macroeconomic conditions. This would serve as a benchmark and fulcrum around which the entire bank operated.


The bank uses Aicadium’s dynamic and explainable forecasting machine learning solution which uses thousands of individual time series and AI-driven trend and seasonality detection. This process generates best case projections to help craft their strategy.


Real-time forecasts helped the bank better understand how different scenarios might play out and thus informs their core strategy.

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