At Google Cloud Next '26, Benjamin Kennedy of Striim, cloud solutions architect, and Vinod Ramachandran of Google Cloud, senior product manager, join theCUBE Research hosts Alison Kosik of theCUBE Research and John Furrier of theCUBE Research to examine modern agent-ready data architectures. Kennedy and Ramachandran discuss streaming ingestion into BigQuery, AlloyDB and Iceberg-formatted lakehouses, real-time replication from operational databases and how open formats enable cross-cloud access. They frame technical patterns for feeding artificial intelligence, AI agents at scale. The conversation explores streaming ingestion pipelines and lakehouse interoperability, open formats such as Apache Iceberg, agent-ready infrastructure, and the operational requirements to support agentic AI workflows. Topics include real-time replication strategies for operational databases, design patterns for sub-second data movement, and approaches for enabling analytics across multiple clouds and systems. Key takeaways include concrete recommendations for architecture and execution. Ramachandran notes that adopting open formats such as Apache Iceberg avoids vendor lock-in and enables immediate access across analytic systems. They further emphasize interoperability as a foundation for multi-cloud analytics. Kennedy emphasizes partnering with real-time replication platforms such as Striim to achieve sub-second ingestion and enterprise resilience. They recommend beginning proofs of concept, POCs now, removing paralysis and prioritizing architectures that deliver agent-scale real-time decisioning.