Google Launches Agentic Data Cloud and Gemini Enterprise Agent Platform at Cloud Next '26
Google's new tools turn data platforms into reasoning engines for AI agents.
At Google Cloud Next '26, Google unveiled two major products: Agentic Data Cloud and the Gemini Enterprise Agent Platform. Agentic Data Cloud is an AI-native architecture that reimagines traditional data platforms as reasoning engines, integrating data ingestion, processing, and analysis with AI models to enable autonomous decision-making. It provides a universal business context engine, allowing AI agents to understand and act on enterprise data in real time. The Gemini Enterprise Agent Platform, meanwhile, offers a comprehensive suite for building, deploying, and governing AI agents, including pre-built templates, monitoring tools, and security controls. Together, these tools aim to accelerate the adoption of AI agents in enterprises by simplifying the integration of data and AI.
These announcements highlight Google's push to dominate the enterprise AI market, competing with offerings from Microsoft and Amazon. The Agentic Data Cloud leverages Google's BigQuery and Vertex AI, while the Gemini platform uses the Gemini model family for natural language understanding. Key features include automated data pipelines, real-time analytics, and agent orchestration across multiple systems. Google claims these tools can reduce data processing time by up to 60% and improve decision accuracy by 35%. Early adopters include companies in finance and healthcare, where agents are being used for fraud detection and patient data analysis. This launch positions Google as a leader in the emerging "agentic AI" space, where AI systems act autonomously rather than just generating content.
- Agentic Data Cloud transforms enterprise data platforms into reasoning engines using AI-native architecture.
- Gemini Enterprise Agent Platform provides tools to build, scale, and govern AI agents with pre-built templates and security controls.
- Google claims up to 60% reduction in data processing time and 35% improvement in decision accuracy for early adopters.
Why It Matters
Google's new tools make it easier for enterprises to deploy autonomous AI agents that reason over data.