Enterprises are moving AI from chatbots to autonomous agents, but struggle with scattered data. This bottleneck prevents agents from becoming true systems of action without security risks. Gemini, integrated with a borderless Lakehouse, now offers a solution. This integration allows Gemini to access and reason over data across clouds, SaaS platforms, and on-premises systems without data movement. Business users can query diverse data sources using natural language. AI agents can leverage this data for grounded reasoning and code generation. New advancements in the borderless Lakehouse include cross-cloud support and Apache Iceberg compatibility. Performance is enhanced for petabyte-scale reasoning through dedicated network connections and caching. Optimizations for Iceberg metadata improve query engine efficiency. Read-write interoperability allows seamless work on shared Iceberg tables. AlloyDB lakehouse federation enables querying of database and warehouse data together. The Lakehouse runtime catalog unifies enterprise data, providing context for agents. Zero-copy data integration with SaaS applications is now expanded. Databricks Delta Lake assets can be synchronized into the Lakehouse. Real-world examples demonstrate significant performance improvements and modernization. Migrating from legacy systems to the borderless Lakehouse is now streamlined.