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Google adds multivariate forecasting to BigQuery AI

Google just launched TimesFM 3.0 for BigQuery, letting you run multivariate time-series forecasts directly in SQL. Unlike earlier versions that handled only single outcomes, TimesFM 3.0 can predict multiple, related future values—like demand shaped by weather, holidays, or pricing—all at once. Google says it now leads all major public forecasting benchmarks. You don’t have to retrain models or leave your workflow—just specify the new model.

Why it mattersOrganizations relying on BigQuery can now forecast complex, interdependent metrics (not just single trends), without extra code or external tools. This could sharpen business and operational decisions where multiple drivers interact.

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Google CloudPrimaryIntroducing TimesFM 3.0 with multivariate time-series forecasting in BigQuery4:00 PM →
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