Applied AI notes describe what a method is good at and where it fails. Both are needed — the failure mode is what tells you where to put the human review step.
These pages avoid accuracy claims. Where a capability is still in development, no figure is published.
10 topics
AI in Practice
What detection is good at, where it fails, what misses and false alarms actually cost, and how to place the human review step.
Topics in AI in Practice
Topics are published on a rolling basis. Nothing goes live before its specifications and sources have been verified.
- What Problems AI Inspection Actually SolvesPublished
- Preparing Inspection Image SamplesPublished
- Why AI Results Need Human ReviewPublished
- How Misses and False Alarms Affect OperationsPublished
- Combining Thermal and Visible LightPublished
- Choosing Edge vs Server ProcessingPublished
- Seasonal Effects on Model EvaluationPublished
- How to Structure an AI PilotPublished
- Defining an Effective AlertPublished
- Measuring Business Value of AI ApplicationsPublished