Reliability 4.0 · 2026-04-21 · 17 min
“AI will just get you to the wrong answer faster - if your data isn’t right.” In this episode of Reliability 4.0, Brian Heinsius from Eco Materials shares how they’re building a reliability program from the ground up - starting with data, systems, and remote monitoring across new sites. From setting up Maximo and asset hierarchies to deploying sensors and dashboards, Brian walks through what it takes to create a scalable reliability foundation before layering on advanced analytics. We dig into: Why building a clean, accurate data foundation comes before AI How remote monitoring enables small teams to manage multiple sites How AI can help analyze data - but still requires careful validation Why starting with simple RCA (like 5 Whys) is often enough early on How to use condition-based signals to trigger maintenance actions If you’re trying to scale reliability across sites - or exploring AI in maintenance - this episode is a practical look at what to build first. This episode is available on: YouTube Apple Music Or wherever you get your podcasts! Want to strengthen your RCA foundation?
E55: Go Back to the Basics: Reliability Lessons From Fresenius67 / 100E54: How La-Z-Boy Is Standardizing Reliability Across PlantsE53: How United Utilities Built a Maintenance Excellence Culture Across 700+ FacilitiesE52: Building a Reliability Program from the Ground Up at NTT Global Data CentersE50: Building a Reliability Culture at Sabert with Glenn Simmonds