Dynamic, Data-driven Forecasting of Global Fibre Demand and Price - powered by MIR InsightThis talk explores the potential and limitations of company-external big data in the context of fibre demand and price forecasting. By understanding the nature of demand streams and price trends globally, we can unlock immense value, streamline our planning processes, optimize purchasing and production, allocate HR resources more efficiently, and achieve substantial profit increases. Big data and machine learning-powered processing enable us to anticipate changes in economic patterns worldwide. Simultaneously, it is essential to comprehend the limitations of such approaches and explore solutions to such limitations, such as federated learning and anonymised data exchanges.