Simor
Less waste in. Better answers out.
Practical writing on AI cost, quality, and the control layers that keep multi-user systems honest in production.
The regulatory landscape for AI safety has fractured along jurisdictional lines. The EU has taken a prescriptive, risk-based approach. The US has taken a sector-specific, agency-led approach. The UK h
Your office building has one electricity meter. At the end of the month, you get a bill for the whole building. You know the total cost of electricity for the month. You do not know which floor consum
When producers and consumers share a Kafka topic without agreeing on the data format, things break in production. A producer adds a field. A consumer expects the old schema. The deserialisation fails,
The headline numbers are familiar. Women represent roughly a quarter of AI and data science professionals globally. At senior levels, the proportion drops to the low teens. At the C-suite level of AI-
A consumer goods company built an AI system that recommended reorder quantities for 12,000 SKUs across 340 distribution points. The system optimised for a multi-objective function that balanced invent
Code completion gets the attention, but it is the narrowest part of what AI can do in a development workflow. Walk into any team that has shipped software for a few years and they will tell you: writi
AI vendor procurement is where organisations make binding commitments that are expensive to unwind. A three-year contract with a model provider locks you into their pricing, their rate limits, their m
The combined AI infrastructure capital expenditure of the four largest cloud providers exceeded $100 billion in the trailing twelve months. Microsoft, Google, Amazon, and Meta are building data centre
Two executives sit across a table. One speaks Japanese. One speaks German. The interpreter sits between them, translating in both directions. The executives do not need to know each other's languages.