Despite the explosion of 'talk to your data' agents, most fall short of production-grade accuracy — here's why the problem is architectural, not just about better LLMs.
Continue Reading »
AI analytics fails not because of better LLMs but because of architectural gaps: distributed data, fragmented context, and platform-specific agents. This technical playbook explains why semantic layers (Level 4 of...
Continue Reading »
Organizations spend millions aggregating data but leave context fragmented across schemas, catalogs, BI tools, and analyst heads. This architectural guide explains why AI accuracy depends on five levels of unified...
Continue Reading »