By Google Cloud Blog
Publication Date: 2025-11-22 00:00:00
From uncovering new insights in multimodal data to personalizing customer experiences, AI is emerging as the engine of modern innovation. The explosion in AI adoption has created a need to bring data and AI closer — not only to streamline the AI lifecycle, but also to bring AI-driven insights and workflow automation to everyone in the organization.
We created BigQuery ML to bring AI to your data, enabling data scientists and data analysts to build and deploy machine learning models directly inside BigQuery. Over the years, we built on this foundation by introducing capabilities such as AI-powered search, generative AI with SQL and many others.
Today, we’re introducing BigQuery AI, which brings together BigQuery’s built-in ML capabilities, generative AI functions, vector search, intelligent agents, and agent tools. Using BigQuery AI, you can:
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Apply gen AI to your data : Bring Google and partner AI models directly to your multimodal data in BigQuery through simple SQL…
