Couchbase: Fix Data Before Scaling Enterprise AI — SkimNews

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- Michael Cronin said at TechSparks in 2026 that fragmented data infrastructure remains a major barrier to enterprise AI adoption.
- Couchbase argued that companies must fix their data systems before scaling AI applications, explicitly placing infrastructure work ahead of broader enterprise deployment.
Why it matters: For enterprise AI teams, the material consequence is a sequencing choice: repair fragmented data systems before expanding AI use. Cronin’s TechSparks 2026 presentation puts Couchbase’s diagnosis on the critical path, with data-system readiness explicitly treated as the prerequisite for scaling applications.
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