Enterprise AI
AI’s production push puts data platforms on the hook for results
Data access, sovereignty and cost challenges stand between AI pilots and measurable business returns.
Enterprise data platforms must turn AI pilots into measurable business returns while overcoming the data access, sovereignty and cost barriers that stand between experimentation and production.
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SiliconANGLE
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SiliconANGLE
AI Analysis
Generated insight by OnAirToday AI
The shift from AI experimentation to production makes business outcomes a test of whether data platforms can deliver usable, governed information at scale. Data access, sovereignty and cost constraints can determine whether promising pilots generate measurable returns.
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