Google Executives Say Increased Access to AI Agents, Capabilities Are Differentiators for Channel Partners

Google's expansion of specialized AI agents and new BigQuery capabilities aims to empower solution providers leveraging Google Cloud's AI and data platform. Yasmeen Ahmad, managing director of data and analytics at Google, shared during a virtual press event that services partners are among those seeking broader access to Gemini data agents. “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,” Ahmad said. “These innovations have helped, again, drive why Google Cloud is the premier destination for all data AI workloads.” Ryan Salva, senior director of product management at Google, emphasized that the new AI tools will enable thousands of partners in Google’s ecosystem to deliver software faster and with higher quality. “Just developing proficiency with the tools will help you achieve your business objectives and make a higher profit more easily,” Salva said. Google’s AI agents facilitate additional intellectual property development, custom prompt augmentation, and specialized integrations, allowing solution providers to differentiate themselves in the market. Salva advised, “For those folks who are building on top of GCP, 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 new AI agents now in preview is Gemini CLI GitHub Actions, which can triage issues, accelerate pull request reviews, and collaborate on demand to write tests and implement code. Launched in June as a free, open-source AI agent, Gemini CLI integrates Gemini into developer terminals. Previously, Google’s integration with GitHub focused on code reviews, but the new agent supports more general-purpose automation events. Salva also mentioned plans to enable developers to instantiate Gemini CLI as a container anywhere. Additional agents in preview include:

• Data engineering agent in BigQuery: Speeds up data preparation for faster pipeline building.
• Data science agent in BigQuery Notebooks: Reduces infrastructure management for users.
• Conversational analytics agent and code interpreter: Enables business users and analysts to query data insights using natural language.
• Migration agent for Spanner: Simplifies database migrations.
• New API: Allows developers to embed conversational AI experiences into their applications.
BigQuery’s AI query engine preview integrates generative AI capabilities into SQL, allowing data practitioners to interact with data more intuitively. Hybrid search combines Google semantic search with traditional keyword search. AlloyDB’s adaptive filtering improves vector query speed and recall, while BigQuery now supports autonomous embeddings generation and indexing for large-scale analytics.

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Originally published at CRN on August 6, 2025.

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Frequently Asked Questions (FAQ)

Q: What are AI agents in the context of Google Cloud? A: AI agents are specialized tools and capabilities powered by generative AI that help users perform specific tasks, such as data engineering, data analysis, code development, and more, within the Google Cloud ecosystem. Q: How do Google's new AI agents benefit channel partners? A: The new AI agents and BigQuery capabilities empower solution providers by enabling them to develop software faster, improve quality, and create differentiated offerings, ultimately leading to higher profits and a competitive edge. Q: What is Gemini CLI GitHub Actions and what does it do? A: Gemini CLI GitHub Actions is a new AI agent in preview that integrates Gemini into developer terminals. It can triage issues, accelerate pull request reviews, and assist with writing tests and implementing code directly within GitHub workflows. Q: What are some of the specific new AI agents being introduced by Google? A: Google is introducing several new agents, including a data engineering agent in BigQuery, a data science agent in BigQuery Notebooks, a conversational analytics agent with code interpreter, a migration agent for Spanner, and a new API for embedding conversational AI into applications. Q: How does the AI query engine in BigQuery enhance data interaction? A: The AI query engine in BigQuery integrates generative AI into SQL, allowing data practitioners to interact with data more intuitively through natural language queries and advanced AI capabilities.

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Crypto Market AI's Take

Google's strategic expansion into AI agents and enhanced data capabilities within Google Cloud underscores a broader trend in the tech industry: leveraging AI to empower partners and customers. For those in the cryptocurrency space, this focus on AI-driven tools for data analysis and software development is particularly relevant. Advanced AI agents can significantly enhance capabilities in areas such as market prediction, algorithmic trading strategy development, and anomaly detection within blockchain networks. As AI becomes more integrated into cloud platforms, the potential for more sophisticated and efficient cryptocurrency-related applications grows. Our platform, Crypto Market AI, is at the forefront of this convergence, offering AI-powered insights and tools for traders and investors. You can learn more about how AI is transforming trading by exploring our AI Agents section.

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