**Trigger**: Use when working with Google Cloud Bigquery Ai Ml — setup, configuration, and best practices. BigQuery integrates with Vertex AI to provide powerful machine learning and generative AI capabilities directly within SQL queries using built-in functions like `AI.FORECAST`, `AI.KEY_DRIVERS`, `AI.DETECT_ANOMALIES`, and `AI.GENERATE`.
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---
name: bigquery-ai-ml
description: >-
source: google/skills
tags: [gcp, google-cloud, bigquery]
metadata:
hermes:
metadata:
hermes:
tags: [gcp, google-cloud, bigquery]
---
**Trigger**: Use when working with Google Cloud Bigquery Ai Ml — setup, configuration, and best practices.
# BigQuery AI & ML
BigQuery integrates with Vertex AI to provide powerful machine learning and
generative AI capabilities directly within SQL queries using built-in functions
like `AI.FORECAST`, `AI.KEY_DRIVERS`, `AI.DETECT_ANOMALIES`, and `AI.GENERATE`.
## Reference Directory
- [AI Forecast](references/ai_forecast.md): Leveraging pre-trained
TimesFM model for forecasting without custom training.
- [AI Detect Anomalies](references/ai_detect_anomalies.md): Identify
deviations in time series data using pre-trained TimesFM model.
- [AI Generate](references/ai_generate.md): General-purpose text and
content generation using Gemini models.
- [AI Key Drivers](references/ai_key_drivers.md): Automatically identify
dimensional segments most responsible for driving changes in a metric.
## Related Skills
- [BigQuery Basics Skill](../bigquery-basics):
SKILL.md file for core BigQuery concepts, resource management, CLI,
and client libraries.
