Your AI agents are ready. Is your data?

Organizations are struggling to scale AI initiatives due to lack of business context and semantic meaning in their data. To overcome this, Google introduced the Agentic Data Cloud, which unifies data, AI models, and operational databases into a single system. This requires AI-native infrastructure that can accommodate agentic load and provide access to context from fragmented data systems. The Agentic Data Cloud leverages a borderless Lakehouse on open infrastructure to enable agents to read, reason over, and activate data across environments. To make this work, organizations need to upgrade their infrastructure to support production-grade agentic AI systems.