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Google Launches Six AI Agents to Automate Enterprise Data Workflows

New tools integrate agentic AI with BigQuery, Spanner, GitHub to automate data engineering, analytics, code management at no additional cost.

Credit: Frederic Lardinois/The New Stack.
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Overview

  • The Data Engineering Agent in BigQuery can create complete data pipelines from simple natural-language prompts.
  • The Data Science Agent within BigQuery Notebooks performs end-to-end model building with integrated reasoning and visualizations.
  • The Conversational Analytics Agent now includes a Python-powered Code Interpreter that translates complex queries into executable code.
  • Gemini CLI GitHub Actions bring open-source AI agents into repositories to triage issues, review pull requests and automate development tasks.
  • BigQuery’s AI Query Engine enables LLM-style SQL queries with semantic search and vector embeddings, while Spanner’s new columnar engine unifies OLTP and OLAP with analytics up to 200× faster and most features are available under existing BigQuery and Looker pricing.