Using BigQuery object tables, we analyze unstructured Cloud Storage data with generative AI models and join the results with BigQuery structured data.

Google Cloud Platform provides a suite of cloud computing services for building, deploying, and managing applications and infrastructure on Google's global network. Developers can learn about cloud-native development, machine learning, and big data analytics to leverage GCP's scalable and reliable cloud infrastructure for their projects.

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This post discusses the challenges and benefits of working with unstructured data in the context of generative AI models and media asset companies. It outlines a solution using Cloud Storage and BigQuery to centralize and analyze unstructured data, emphasizing the use of object tables in BigQuery. The post also provides steps for creating an example dataset, creating object tables, referencing AI models and functions, and using the functions in queries.

Perform product analysis with generative AI and BigQuery

Streamlining data integration with Cloud Storage and BigQuery