MaintainX on Predictive Maintenance: Why Factory Data Needs Context | Nick Haase | ICC 2026

MaintainX co-founder Nick Haase explains how predictive maintenance actually works when machine data from Ignition flows into a CMMS and technicians feed repair context back into the system. We talk about connecting design, make, and operate, why technician feedback matters, and how AI becomes useful for the frontline maintenance workforce. Recorded September 22, 2026 at the Ignition Community Conference (ICC 2026) in Sacramento, California. Hosted by Michael Finocchiaro, AI Across the Product Lifecycle. How do you get machine data into a technician's hands, and how do you get the repair context back into the system? CHAPTERS 00:00 Introduction and IMTS reflections 02:01 Connecting design, make, and operate 03:14 MaintainX and the broader ecosystem 03:53 What changes for customers 04:43 People, culture, and company value 06:18 Ignition data and maintenance context 08:26 Predictive versus scheduled maintenance 10:06 The technician's job after AI 11:40 Digital-native workers need modern tools 12:26 The AI moment in maintenance 13:40 Bringing the frontline workforce along Watch the ICC full-interview series:    • ICC 2026 — Full Interviews   ICC Shorts and highlights:    • ICC 2026 — Best Moments   Explore more than 1,000 Industrial AI, Engineering AI, Physics AI, and Physical AI startups: https://threadmoat.com Subscribe for more conversations about AI across the product lifecycle. #PredictiveMaintenance #MaintainX #IndustrialAI