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TimesFM 3.0 adds multivariate forecasting inside BigQuery SQL

cloud.google.com by Haiyang Qi, Haoming Chen 5 min read Editor score 8/10

Google's 330-million-parameter model brings multivariate forecasting to BigQuery, with the announcement reporting top results on GIFT-Eval, FEV-Bench, and TIME. Running forecasts directly in SQL could simplify workloads that combine multiple series and external drivers.

What
TimesFM 3.0 is a foundation model preview in BigQuery for multivariate time-series forecasting through AI.FORECAST.
How
It forecasts one or multiple targets and supports covariates with past-only or past-and-future values; earlier TimesFM versions were univariate only.
Why it matters
Engineers can forecast related metrics and external drivers through familiar SQL workflows without training or managing custom models.
prepares prepares input input powers BigQuery SQL TimesFM 3.0 Historicalobservation rows Future horizonrows AI.FORECAST
BigQuery SQL prepares historical and future rows for AI.FORECAST, which uses TimesFM 3.0. Sketched from the article's own text.

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