Forecasting is one of the areas where AI is seeing early and practical application across finance, but results vary depending on how it is implemented and integrated into existing processes. This session focuses on how finance teams are applying AI to improve forecast accuracy, reduce manual effort, and respond more quickly to changing conditions. It will look at how models are being used alongside human judgment, how signals are being prioritised, and how forecasting processes are evolving as AI becomes part of the workflow. The discussion will also cover how teams are incorporating AI into existing planning cycles, where it is improving speed and responsiveness, and how outputs are being validated to ensure they hold up in real decision environments. Expect practical examples of how AI is being used in forecasting today, what is working, and what needs to be in place for it to deliver consistent value. Key takeaways: - See how AI is being applied to improve forecasting accuracy and responsiveness in finance. - Understand how to combine AI-driven outputs with human judgment in planning processes. - Learn how to integrate AI into forecasting workflows in a way that delivers consistent and reliable results.