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Forecasting techniques evolve over time due to advancements in technology, data availability, and analytical methodologies. As computational power increases, more sophisticated models, such as machine learning and Artificial Intelligence, have emerged, enabling more accurate predictions. Additionally, the growing availability of real-time data allows for dynamic forecasting approaches that can adapt to changing conditions. Ultimately, these changes lead to more responsive and precise forecasting that better meets the needs of various industries.

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