Predictive Maintenance on Azure for Manufacturers: What You Actually Need Before the Model

Podcast: M365.FM | Microsoft 365, Azure Cloud, Power Platform & AI · Mirko Peters - Founder of m365.fm, m365.show and m365con.net

Opublikowano: 2026-10-24

Predictive maintenance on Azure only pays off when a warning arrives early enough for your team to act on it. In this episode of the iFAKT series, we start with the maintenance decision and work backward to the evidence, data and process you need before choosing a model on Azure. We follow one hypothetical asset from sensor reading to approved work order and ask the questions most projects skip: What action should a warning trigger? How much warning horizon do spares, permits, isolation and production planning really need? Can the fault produce evidence early enough to change the...