AI
The Dissonance of Enterprise AI: Trust, Evaluation, and Agent Deployment in Question
Enterprise AI implementation faces critical challenges regarding data context trust, the reliability of autonomous agent evaluation methods, and the precise definition of what constitutes an 'agent'. Organizations are building context infrastructure (RAG, native vendor solutions) faster than they can ensure its reliability. Concurrently, AI agents with increasing autonomy are deployed, despite half failing in production after passing internal evaluations. Agent orchestration centralizes on model provider platforms, but most implementations are limited to advanced chatbots, revealing a disconnect between ambition and operational reality.
Carlos "Emérito" López Lovera
