Time series forecasting is a crucial aspect of enterprise resource planning, but traditional methods have been limited by computational constraints and access to advanced technologies. However, with the rise of generative AI and time series transformers, organizations can now achieve more accurate and reliable forecasts by leveraging large volumes of data and subtle patterns. This blog provides an introduction to time series transformers and showcases their success in various domains through publicly available datasets on Databricks.
