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Databricks launches Predictive AI Functions in Beta for SQL, Genie and dashboards

Databricks adds four new SQL AI functions and an upgraded ai_forecast so analysts can forecast, find drivers and flag anomalies without building models.

Announced by DatabricksPublished Checked

Summary

Databricks released Predictive AI Functions in Beta. They are built-in SQL functions for forecasting, driver analysis, anomaly detection and prediction, backed by models that Databricks maintains. They can be called in SQL, used in dashboards, or reached through Genie, though most Genie support is still coming.

What changed

  • Five functions: an upgraded ai_forecast plus new ai_top_drivers, ai_detect_anomalies, ai_predict_value and ai_predict_class.
  • ai_forecast now uses a transformer-based time series foundation model and needs no tuning.
  • ai_forecast adds built-in holiday support and external covariates such as pricing changes or marketing spend.
  • In Genie, ai_top_drivers is available today; the other four functions are coming soon.

Availability

Beta

“Predictive AI Functions , now in Beta, remove that bottleneck by letting analysts and business users run advanced analytics like forecasting, driver analysis, and anomaly detection”

Founder takeaway

If you already use Databricks SQL or dashboards, try the functions on a small metric, such as a sales forecast or an anomaly check, and compare the results with your current method. Remember it is a Beta, and most Genie support is still coming.

Sources

  1. Databricks — Unlock powerful insights and forecasts with Predictive AI FunctionsPublished · Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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