August 6, 2025
5 min read
Wade Tyler Millward
Google expands AI agent access and BigQuery capabilities, empowering channel partners to innovate and compete with advanced AI tools.
Google is expanding access to specialized artificial intelligence agents and new AI capabilities within BigQuery. This initiative aims to empower solution providers to integrate Google's AI technologies into their service offerings and enhance customer interactions related to Google Cloud's data and AI value proposition.
Yasmeen Ahmad, Google's managing director of data and analytics, highlighted during a virtual press conference that service partners are particularly keen on gaining broader access to Gemini data agents. She stated, "We are now putting that GenAI to work across the Google Cloud Platform to give the best possible destination experience for customers looking for an AI-first cloud. These innovations have helped, again, drive why Google Cloud is the premier destination for all data AI workloads."
Ryan Salva, Google's senior director of product management, added that these new tools are expected to enable thousands of partners in Google's ecosystem to deliver software faster and with higher quality compared to competitors. He emphasized, "Just developing proficiency with the tools will help you achieve your business objectives and make a higher profit more easily."
Google's AI agents facilitate the development of additional intellectual property, custom prompt augmentation, and specialized integrations that solution providers can leverage to distinguish themselves in the marketplace. Salva advised, "For those folks who are building on top of GCP [Google Cloud Platform], focusing on investment in building up the ecosystem and building out differentiation for your tools on top of the platform is going to give you a competitive edge against anyone else in the market."
Among the specialized agents now in preview is Gemini CLI GitHub Actions, designed to triage issues, expedite pull request reviews, and facilitate on-demand collaboration for writing tests and implementing code. Google initially launched Gemini CLI in June as a free, open-source AI agent to bring Gemini capabilities into developer terminals. An earlier integration with Microsoft-owned GitHub focused on code reviews, but the new agent broadens its use cases to include automation events. Salva also mentioned plans to further open Gemini CLI, allowing developers to instantiate it as a container anywhere.
Other agents in preview include a data engineering agent within BigQuery that accelerates data preparation for faster pipeline construction, and a data science agent in BigQuery Notebooks that reduces infrastructure management overhead for users.
Additionally, a conversational analytics agent and a code interpreter will empower business users and analysts to request data insights using natural language. A migration agent for Spanner is designed to simplify database migrations, and a new API will enable developers to embed conversational experiences directly into their applications.
BigQuery's AI query engine preview allows data practitioners to interact with data through generative AI capabilities embedded within SQL. Hybrid search in BigQuery integrates Google's semantic search with traditional keyword search, while adaptive filtering in AlloyDB promises to automatically improve vector query performance for better speed and recall. BigQuery has also introduced autonomous embeddings generation and indexing to support large-scale analytics.
Originally published at CRN on August 6, 2025.
Originally published at CRN on August 6, 2025.