Experience the magic of Large Language Models (LLMs) like Gemini, applied to your Google BigQuery data at scale! BigQuery Vertex AI integration empowers you to use the Gemini models to analyze unstructured, semi-structured, and structured data - using just SQL. Try AI vector search and Gemini embedding to analyze data at scale.
In this video, you'll learn how Gemini models can help you generate new insights, enrich your datasets, and even analyze multimodal content including images, videos, and text. You'll see an end-to-end demo in BigQuery Studio that analyzes a dataset of images, generating structured content and fusing in world knowledge to augment data understanding.
Ready to transform your analysis? Dive into the world of Gemini models for your BigQuery exploration and use Gemini AI for data analytics.
Resources:
Try Gemini in Vertex AI → goo.gle/4bKd193
Upload the notebook to try for yourself → goo.gle/bq-gemini-demo
Learn more in the documentation → goo.gle/bqml-generate-text
Read the blog on BigQuery integration with Gemini 1.0 Pro → goo.gle/bqml-gemini-pro-blog
Read the blog on BigQuery integration with Gemini 1.0 Pro Vision → goo.gle/bqml-gemini-pro-visio...
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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