Pillar Hub / Intelligent Systems

AI Infrastructure

Practical architecture for models, retrieval, data, evaluation, monitoring, governance, and enterprise AI operations.

RAG vs Fine-Tuning: Choose the Right AI Pattern

Compare knowledge freshness, control, cost, evaluation, governance, and operating requirements.

Decision Desk

Design the data, retrieval, model, evaluation, and control layers together.

The enterprise stack behind production AI systems.

Match RAG, fine-tuning, or a hybrid approach to the use case.

Define ownership, risk tiers, approvals, monitoring, and escalation.

Connected Stack

Follow AI decisions into data, infrastructure, security, and architecture.

Provide governed source data, metadata, lineage, and quality.

Operate compute, storage, networking, cost, and observability.

Connect AI investment to capabilities, systems, risk, and roadmaps.

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