Storage Silos
For decades, IT teams ran three separate data silos for specific data types and use cases, piling on cost, complexity, and a wider attack surface.
Limited Visibility
Data engineers lack visibility across their entire data estate and the necessary permissions to access key data for model fine-tuning and inference.
Stale Data
AI is only as current as its data. Models running on stale data return outdated, inaccurate answers that erode user trust in the AI application.
Data Exposure
GDPR and EU AI Act compliance is non-negotiable, yet every data copy risks drift, inconsistent permissions, and exposing information that should stay protected.







