Google Cloud launches BigQuery accessor for AI functions in pandas

[Google Cloud] Google Cloud said its new .bigquery accessor from BigQuery DataFrames (BigFrames) lets users run machine learning workflows, including forecasting, classification and high-dimensional embedding generation, without leaving a pandas DataFrame. According to Google Cloud, the accessor translates pandas operations into Google Standard SQL, executes foundation models such as TabFM natively on BigQuery infrastructure and returns results as a standard pandas DataFrame. The company said ai.predict() can perform regression directly over two pandas dataframes with a single call, bypassing local scikit-learn training. Google Cloud said users need BigQuery Job User and Agent Platform User roles, and must install pandas and bigframes in a Jupyter environment and specify a Google Cloud project ID.