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The AI execution gap: Why nearly half of enterprises struggle to deliver AI success

The AI execution gap: Why nearly half of enterprises struggle to deliver AI success

The AI execution gap: Why nearly half of enterprises struggle to deliver AI success

Fivetran
Pages 1 Pages

Fivetran’s analysis reveals that poor data centralization significantly hampers AI success, with only 42% of enterprises calling their data centralization strategy “very effective.” Over 57% report that more than half of their AI projects fail or underperform, primarily due to data integration challenges. Additionally, 34% of enterprises cite increased operational costs from AI failures. Centralized organizations spend over 80% of engineering resources maintaining data pipelines, driving up expenses. Without addressing these root causes, AI initiatives risk continued inefficiency and high costs.

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