Enterprises struggle to run consistent, secure AI operations internally. Specialist external teams, allocated rapidly and governed tightly, close the gap between AI ambition and…
mlops
AI & Data Engineering
AI Model Ops: Why Flexible Teams Win
Deploying machine learning models into production is often harder than building them. Model operations (Model Ops) require data pipelines, monitoring, version control, and ongoing…
AI & Data Engineering
From Proof of Concept to Production AI
Many AI initiatives stall after the proof-of-concept phase. Models work in a lab setting but never make it into production where they can deliver…