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Jörg Ehlken / Björn Radtke / Andreas Rauh

Market Signals with AI – Translating Insights into Effective Steering

Year of publication: 2026
Published in: White paper

Short Description

Volatile markets, new information emerging at ever shorter intervals and increasing demands on the speed and quality of management decisions are putting forecasting under pressure to transform. At the same time, financial and operational data are becoming increasingly integrated, while AI is opening up new opportunities for automation, analysis and performance management.

In this white paper, Dr Jörg Ehlken, Björn Radtke and Andreas Rauh explain how forecasting will evolve from a periodic forecasting process into the continuous pulse of performance management. Drawing on eight key developments, they show what a future forecasting approach could look like – always-on, largely touchless and increasingly event-driven, while consistently linking operational value drivers to their financial impact.

In this target state, AI supports not only forecasting, but also analysis and the identification of appropriate actions. Probabilistic ranges make uncertainty transparent, while a generative AI interface enables direct interaction with forecasts and scenarios. Forecasting thus evolves from the outcome of a periodic process into the starting point for management action and decision-making.

Read the white paper and get in touch with our colleagues – for forecasting that makes performance management faster, better informed and more future-oriented.

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