Running AI in production: MLOps and AgentOps foundations
INTELLERTS AGENTOPS SERIES | PAPER 1 A practical toolkit for keeping AI models and agents accurate, affordable, safe andaccountable once real users depend on them. BY DARIUS DILIJONAS, INTELLERTS An agent that issues a refund, updates a customer record or drafts a supplier email can look flawless in a demo. Run the same task ten […]
Why agentic AI is the only architecture worth building toward in retail
For two decades, retail analytics has followed the same pattern: ingest history, train a forecasting model, surface a number on a dashboard, and hope a human acts on it. That pattern is exhausted. The ceiling is not algorithmic, it is organisational. A demand forecast that arrives in a planner’s inbox at 7 a.m. competes with […]