How siloed data and legacy infrastructure are driving up AI costs for enterprises
By
Christy Maver
Summary
AI adoption is yielding returns, but many organizations face scalability and cost challenges due to disconnected data environments. A recent Economist Enterprise survey of over 1,200 technology leaders found that 67% of companies with siloed data cite storage, movement, and duplication as the largest recurring AI costs, compared to just over half for those with unified data architectures. The article argues that now is the time to build future-proof AI infrastructure, though database migrations remain complex and expensive.
Source
Key quotes
· 3 pulledAmong companies with disconnected data environments, 67% cited data storage, movement, and duplication as the largest recurring AI cost.
Now is the time to build the future-proof foundation for AI.
But database migrations are expensive.
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