The AI Insights Fabric: Why Enterprise Data Needs a New Architecture
Discover why current architectures can't deliver trusted AI insights at scale — and what the new AI Insights Fabric makes possible.
The AI Disconnect: Why “Talk to Your Data” Agents Fall Short
Traditional data architectures were built for centralized warehouses and batch processing. AI needs something fundamentally different: instant access to distributed data, unified business context, and self-service at scale.
This white paper explores why existing approaches fall short and introduces the AI Insights Fabric — a new architecture purpose-built for the agent era.
What you’ll learn:
- Why vertically integrated stacks, BI tool agents, and data catalogs can’t solve the distributed data problem
- The three architectural gaps blocking AI success: distributed data, fragmented context, and pipeline dependency
- How AI Insights Fabric delivers federated access, unified context, and trusted self-service without data migration