Recent advances in AI empower smaller businesses to leverage foundation models for time series forecasting, transforming historical data into actionable future insights.
Time series forecasting employs historical time-stamped data to make predictions about future business conditions, such as sales and inventory levels.
With new foundation models, businesses can transform existing time-stamped data in spreadsheets into powerful predictive tools without requiring extensive training.
By integrating external factors like seasonal weather patterns, companies can enhance their forecasting accuracy and adapt to market variations.
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