BigQuery offers TimesFM 3.0, a built-in time series forecasting model that implements Google Research's open source TimesFM model.

BigQuery offers TimesFM 3.0, a built-in time series forecasting model that implements Google Research's open source TimesFM model. You can use TimesFM 3.0 with the following functions:

• Use AI.FORECAST to perform time series forecasting. In addition to univariate forecasting, you can now perform multivariate forecasting that predicts values for multiple time series based on historical values and additional covariates.
• Use AI.EVALUATE to perform univariate time series evaluation.
• Use AI.DETECT_ANOMALIES to perform univariate time series anomaly detection.

Conversational analytics in BigQuery also supports using TimesFM 3.0 with these functions.

To try using the TimesFM 3.0 model for multivariate forecasting with the AI.FORECAST function, see Forecast a single time series with a TimesFM multivariate model and Forecast multiple time series with a TimesFM multivariate model.

The TimesFM 3.0 model is in Preview.