Data Science BQML agent
Process data and selects optimal ML models.
Publisher
HCL Software
Product Details
This agent processes data and selects the best ML model for the task. Users choose a dataset and describe their requirements, and the agent handles the rest of the modeling work.
After accepting the selected dataset, the agent interprets the user’s requirements, processes the data automatically, and selects a suitable ML model. It then trains the model and returns it to the user. This lets users go from a chosen dataset to a trained model without building each step of the pipeline by hand. The agent is part of the Data Science BQML offering.
Key Use Cases
Conversational BQML Model Pipeline Creation
Interprets natural language business objectives, automates feature preprocessing inside BigQuery, and selects optimal ML algorithms without requiring manual SQL pipeline development.
Automated In-Warehouse Predictive Analytics
Allows data analysts to rapidly experiment with and train production-ready classification or regression models directly on enterprise BigQuery datasets through conversational instructions.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.