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Google Executives Say Increased Access To AI Agents, Capabilities Are Differentiators For Channel Partners
ai-agents

Google Executives Say Increased Access To AI Agents, Capabilities Are Differentiators For Channel Partners

Google expands AI agent access and BigQuery capabilities, empowering channel partners to innovate and compete with advanced AI tools.

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.

FAQ

Google Cloud AI Capabilities

Q: What new AI capabilities is Google increasing access to in BigQuery? A: Google is increasing access to a range of specialized artificial intelligence agents and new AI capabilities in BigQuery. Q: How will these new AI capabilities benefit solution providers? A: These capabilities are aimed at helping solution providers leverage Google's technology to enhance their service offerings and customer engagements around Google Cloud's data and AI value proposition. Q: What is the goal of providing broader access to Gemini data agents? A: The goal is to allow services partners and others to leverage these GenAI capabilities across Google Cloud Platform for an improved AI-first cloud experience.

Gemini CLI and Specialized Agents

Q: What can the Gemini CLI GitHub Actions agent do? A: It can triage issues, accelerate pull request reviews, and collaborate on demand to write tests and implement code. Q: What is the primary function of the data engineering agent in BigQuery? A: It speeds up data preparation for faster pipeline building. Q: How does the data science agent in BigQuery Notebooks help users? A: It reduces infrastructure management for users. Q: What can business users and analysts do with the conversational analytics agent and code interpreter? A: They can use natural language to request data insights. Q: What is the purpose of the migration agent for Spanner? A: It aims to simplify database migrations.

BigQuery AI Features

Q: How does BigQuery's AI query engine work? A: It allows data practitioners to interact with data using generative AI capabilities embedded into SQL. Q: What does hybrid search in BigQuery combine? A: It combines Google semantic search with traditional keyword search. Q: What improvement does adaptive filtering in AlloyDB promise? A: It promises to automatically improve vector queries for better speed and recall. Q: What new capabilities has BigQuery gained for large-scale analytics? A: BigQuery has gained autonomous embeddings generation and indexing to support large-scale analytics.

Crypto Market AI's Take

Google's strategic expansion of AI agent access within BigQuery signifies a broader trend towards democratizing advanced AI capabilities for businesses. This move directly aligns with our mission at Crypto Market AI to provide cutting-edge, AI-driven tools for financial analysis and trading. By making these powerful agents more accessible, Google is fostering an environment where solution providers can build more sophisticated and intelligent applications. This could translate into more personalized financial insights and automated trading strategies for users, mirroring the advanced analytics and trading bots we offer on our platform. For those interested in how AI can enhance financial decision-making, exploring our AI Agents section can provide further context on the practical applications of these technologies in the crypto market.

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