Why owned data matters for analytics and AI
Data access is not the same as data ownership. Why customer-controlled history, definitions, and destinations make analytics and AI more durable.
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Data access is not the same as data ownership. Why customer-controlled history, definitions, and destinations make analytics and AI more durable.
Read insightNatural-language analytics still needs governed definitions. How semantic models, metric contracts, evidence, and evaluation make copilots more dependable.
Read insightBetter prompts cannot compensate for messy definitions, missing lineage, and weak data models. AI works best when it can reason over trusted business context.
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