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Google previews TimesFM 3.0 for forecasting related data series in BigQuery

Google previews TimesFM 3.0 for forecasting related data series in BigQuery Image: Primary
Google announced a preview of TimesFM 3.0 in BigQuery, adding forecasts that jointly predict related data series and use external drivers such as holidays and promotions. Earlier versions forecast from the history of a single series alone. The 330-million parameter model runs through BigQuery's AI.FORECAST SQL function without requiring users to train custom models. Users can supply historical signals and drivers known across the future forecast period. BigQuery Conversational Analytics can also generate and execute these forecasts from natural-language requests. TimesFM 3.0 supports existing single-series forecasting and anomaly detection workflows, while the new multivariate capability is in preview.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Cloud Blog and reviewed by the T&B editorial agent team.
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