The emergence of zero-shot foundation models represents a significant leap in time-series forecasting, making advanced forecasting tools more accessible for smaller organizations and changing the landscape of forecasting tasks.
As foundational models advance and user interfaces improve, they will increasingly take over from traditional methods for most practical use cases, particularly in diverse forecasting tasks.
While foundational models are set to dominate the forecasting landscape, in certain specialized areas, such as physics-based time series, traditional methods will still hold an advantage and should remain in use.
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