AI Functions on Databricks

Preview

This article describes Databricks AI Functions, built-in SQL functions that allow you to apply AI on your data directly from SQL.

SQL is crucial for data analysis due to its versatility, efficiency, and widespread use. Its simplicity enables swift retrieval, manipulation, and management of large datasets. Incorporating AI functions into SQL for data analysis enhances efficiency, which enables businesses to swiftly extract insights.

Integrating AI into analysis workflows provides access to information previously inaccessible to analysts, and empowers them to make more informed decisions, manage risks, and sustain a competitive advantage through data-driven innovation and efficiency.

ai_forecast

The ai_forecast() function is a table-valued function designed to extrapolate time series data into the future. In its most general form, ai_forecast() accepts grouped, multivariate, or mixed-granularity data, and forecasts that data up to some horizon in the future.

Important

This functionality is in Public Preview. Reach out to your Databricks account team to participate in the preview.

See ai_forecast function for more information.