Build Smarter Gemini Agents with Live Enterprise Data

Google’s Gemini ecosystem offers tools ranging from AI Studio and Workspace Studio to the Agent Development Kit and Vertex AI Agent Engine, but enterprise deployments can be limited by agents’ inability to securely access live data in business systems such as Salesforce, SAP, Snowflake, and Oracle. CData Connect AI is presented as a managed Model Context Protocol platform that provides Gemini and other AI platforms with governed, real-time access to more than 350 enterprise data sources through a single endpoint. It aims to reduce connector sprawl, warehouse-related data latency, credential exposure, and audit gaps by using passthrough authentication, runtime enforcement of source permissions, workspace isolation, and detailed activity logging. The platform also supports federated cross-system queries and governed write operations, allowing agents to analyze data from multiple systems and create records or trigger workflows. An example customer-health agent combines CRM, support, usage, and billing data to identify churn risk and initiate follow-up actions, while CData positions its infrastructure as reusable across multi-model AI environments including Gemini, ChatGPT, Claude, Copilot Studio, n8n, and open-source models.

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