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Unveiling new BigQuery capabilities for the agentic era

Google Cloud Blog·Neeraja Rentachintala, Tomas Talius·6 months ago
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Succeeding in the agentic era requires a transformation in your data strategy: moving from human-scale to agent-first workloads, evolving from reactive intelligence to proactive action, and shifting from raw data to semantic knowledge that agents can use to reason accurately.

For over a decade, BigQuery’s continuous innovations have helped tens of thousands of organizations build a scalable data and AI foundation and navigate several industry and technological transformations. BigQuery has evolved into an autonomous data-to-AI platform, growing over 30x in data processed with Gemini, 25x in AI functions processing unstructured data, and 20x in agent-building tools with Model Context Protocol (MCP).

Customers like Definity are building data platforms to enhance their customers’ experience, improve back-office operations, and boost data team productivity.

“We stood up our data platform in Google Cloud and ingested all critical insurance data in 10 months, which is about half of the time that people see in…

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