AI
The 288-Slide Running Log: Weekly Evidence Beats Monthly Polish in Applied-AI Delivery
On a roughly year-long applied-AI engagement with a major operator in Oman, the artifact we trusted most was not the monthly steering deck. It was a single running-log deck that grew by appending every week: 288 extracted text blocks holding raw ground-truth-versus-prediction tables, a NaN-imputation status ledger that named its own failures (GAN and GAIN Fail, the masked autoencoder still Optimizing, KNN Succeeded with spikes), and the all-caps escalation the day the model hit a wall on missing data. This is an operating-model piece about why that living log, not the polished summary, is the real system of record, and how it later became raw material for two journal papers.
Blog Article
