Reading your own incident data
Response time distributions, why averages mislead, and the handful of measures that actually inform a deployment decision.
Data literacy, analytics, and AI without the hype
Data and AI
How to read your own data, what analytics can and cannot tell you, and where AI genuinely helps an operational organization.
In this track
Dashboards people actually open
Designing around a standing decision rather than around available fields.
AI for the fire service: what it is good at
A working explanation of what these systems do, where they are reliable, and where confident output should not be trusted.
AI governance and policy
Writing policy before deployment: accountability, records implications, and what you tell the public.
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None of this is published yet
This outline is public so it can be argued with before it is written. If something here is wrong, missing, or in the wrong order for how a department actually works, that is worth knowing now.
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