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See how BigQuery AI brings predictive ML, generative AI, semantic search, and data agents directly to your data, with practical guidance for building AI workflows at scale.

AI is most useful when it can work with the data that drives your business. But moving data between systems and tools can add complexity, cost and friction. BigQuery AI takes a different approach, bringing AI capabilities directly to where enterprise data already lives.

This practical guide explores how organizations can use BigQuery AI for predictive machine learning, generative AI, semantic search, and agent-driven workflows without unnecessary data movement.

You’ll also find step-by-step guidance, code samples, and real-world use cases to help translate these capabilities into practical AI applications. If your organization is looking to move from AI experimentation toward scalable, data-driven outcomes, this guide offers a useful starting point.

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