Solving the Data Layer Problem for AI Product Teams: Meet CData at ProductCon New York 2026

CData promotes its Connect AI Embed platform at ProductCon New York 2026 as a way for SaaS teams to connect AI copilots, assistants, and agentic workflows to fragmented enterprise data systems without building and maintaining individual connectors. The piece argues that production AI initiatives often stall because of inconsistent schemas, legacy applications, changing APIs, authentication requirements, governance obligations, and conflicting data across CRMs, ERPs, warehouses, and support platforms. It presents Model Context Protocol as an emerging standard for agent-to-tool connectivity, while emphasizing that standardized access still requires centralized security, permissions, and audit controls. Connect AI Embed is described as supporting hundreds of cloud and on-premises sources, MCP-based connectivity, schema normalization, identity passthrough, existing RBAC and SSO/OAuth workflows, least-privilege access, and audit logging. CData says these capabilities can help product leaders, AI engineers, platform teams, and SaaS founders reduce integration overhead, preserve source-system governance, improve access to current data, and scale enterprise AI deployments more reliably.

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