Practical insights
- 1000published
- 25in review
- 8topic families
Results
- Canary a new model on a small traffic slice with pre-agreed rollback criteria
A retrained model is ready, and the plan is to switch all traffic at once on Monday.
mediumdocumented fact - Gate releases on a frozen golden set with tolerances sized to run-to-run noise
A model-quality CI check fails randomly about one run in five, and engineers start rerunning until it passes.
mediumpractitioner heuristic - Scale governance effort to the risk tier of each model
Every model, from an internal dashboard forecast to a credit decision engine, goes through the same three-month review.
mediumpractitioner heuristic - Price inference per thousand predictions before choosing GPU serving
A team proposes GPU instances to serve a gradient-boosting model that handles 50 requests per second.
mediumpractitioner heuristic - Compare managed and self-hosted ML platforms on total cost including people
Self-hosting an open-source serving stack looks cheaper than a managed service on the cloud bill.
mediumpractitioner heuristic - Refresh internal benchmark sets so teams stop tuning to a fixed test
Every quarter, teams report improvements on the same internal evaluation set used for two years.
mediumdocumented fact - Test for proxies of a sensitive attribute instead of relying on having dropped it
Compliance asks for gender and age to be removed from a pricing model's features, and the model is then described as neutral (hypothetical).
mediumpractitioner heuristic - Check each new model use against the purpose the data was collected for
Support-chat transcripts gathered to resolve tickets are proposed as training data for a sales-propensity model (hypothetical, EU customers).
mediumdocumented fact - Design a contest path into decisions that may fall under solely automated processing
A team plans to reject consumer loan applications straight from a score with no reviewer step (hypothetical, EU applicants).
mediumdocumented fact - Keep a model inventory that links each model to its data, owner and consumers
A source table is being deprecated and nobody can list which models, spreadsheets and vendor scores read it (hypothetical).
mediumpractitioner heuristic - Date-stamp the evaluation plan before looking at candidate results
Five variants and a new feature set are compared with last quarter's champion, with the primary metric, slices and exclusions still open (hypothetical).
mediumpractitioner heuristic - Seed review queues with known-answer cases to test whether reviewers really check
Analysts approve 99 percent of a fraud model's suggested actions (hypothetical).
mediumempirical finding - List who bears each error type before setting the threshold
A claims-flagging threshold is set from investigator hours alone, while flagged customers wait weeks for payment (hypothetical).
mediumpractitioner heuristic - Price the exit before buying a model or platform
A team picks a hosted risk-scoring API after a strong demo and a three-year contract is on the table (hypothetical).
mediumpractitioner heuristic