Simor
Data Infrastructure for Production AI
Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.
Figure skating judges do not give one score. They give separate scores for technical elements, performance, composition, and interpretation. Each dimension captures something different. A skater can l
An orchestra does not have one musician playing everything. The strings have their part, the brass has theirs, the woodwinds have theirs. They do not all play the same notes. They play different notes
Benchmark scores tell you how a model performs on problems that someone else chose. Your enterprise systems present different problems: your proprietary terminology, your specific data distributions,
You have a 600-page book on regulatory compliance. You do not read it front to back. You scan the table of contents, identify the chapters relevant to your current question, read those chapters closel
A language model that only generates text is not enough for most enterprise problems. The real value emerges when an AI system can look up your customer record, check inventory levels across warehouse
A master woodworker takes on an apprentice. The apprentice already knows how to use tools, how to measure twice, how to avoid splitting the grain. What the apprentice needs is not general woodworking
You ask a research assistant: "What are the key clauses in our vendor contracts that affect data residency?" The assistant does not know off the top of their head. They go to the document store, find
A technology company built an impressive AI platform. They had GPU clusters, fine-tuning pipelines, evaluation frameworks, and a growing model registry. They opened access to any team that wanted to u
Mary Poppins reaches into her carpet bag and produces a lamp, a potted plant, a chair, and a full dinner service. The bag is impossibly large on the inside. But Mary does not reach past the top layer.