Building the Foundations for AI & Analytics: Practical Lessons from the Field, Shared by Customers and Partners

CData Foundations sessions on data, analytics, and AI emphasized that successful AI adoption depends on practical foundations rather than hype, particularly governance, integration, and self-service access to data. Speakers described governance as essential for ensuring data lineage, quality, compliance, transparency, and trust, warning that AI can amplify problems created by poorly controlled analytics data. Integration was presented as equally important because it connects siloed systems, delivers complete and current information, enables real-time reporting, and prevents AI tools from relying on outdated or incomplete context. Customer examples from organizations including RLTYco, First Water Finance, Zebra Technologies, Elli.ai, and Red Wing Shoes illustrated how CData connectivity supports automated workflows, dashboards, AI assistants, and direct access to operational and financial data. Across the sessions, the central message was that trusted, connected, and accessible data allows business users to make faster decisions independently, while creating a stronger platform for responsible AI use and business growth.

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