Google is recently announced innovations that use BigQuery and Vertex AI to further connect data and AI to help you achieve this
They will explore some of these innovations in more detail in this blog post, along with instructions on how to use Gemini 1.0 Pro in BigQuery
With Google BigQuery’s BigQuery ML capability, you can develop and apply machine learning models from within your data warehouse
Vertex AI-trained models like PaLM 2 or Gemini Pro 1.0; or imported custom models based on TensorFlow, TensorFlow Lite, and XGBoost, BigQuery ML enables data analysts and engineers to create
They took it a step further and used Vertex AI to integrate Gemini 1.0 Pro into BigQuery in order to further streamline generative AI
Create the remote model that reflects a hosted Vertex AI large language model before using Gemini 1.0 Pro in BigQuery
BigQuery ML allows you to integrate generative models directly into your data workflow, which helps you scale and optimize them