Why AI Fails in the Factory? - AI Panel at MX.0 Southeast 2026

Why does AI fail in the factory? Three reasons: unstructured data, fragmented data, and no governance.At MX.0 Southeast in Greenville, SC, Zack Scriven sits down with Matt from HiveMQ and Remus from Concept Reply for a field panel on why most manufacturers aren't ready for AI — and what to build first. They cover what a Unified Namespace actually is (two definitions), where it's being misused, the Excel-to-MQTT trick, AI governance as a critical skill, and how to get started when you can't even get budget approval for a consultant.00:00 — Introductions00:37 — Why AI fails: three root causes02:16 — HiveMQ as the data backbone03:01 — No data equals no AI03:21 — The Excel problem04:24 — What is a Unified Namespace?07:40 — Where UNS is misused09:03 — Don't build a UNS without a problem statement10:35 — AI as accelerant for building foundations11:52 — AI governance as a future skill12:35 — Overcoming internal resistance14:57 — People, process, technology16:34 — Start with what you controlAbelara: https://www.abelara.com#Abelara #AbelaraAscent #AI #UNS #MQTT #HiveMQ #ManufacturingTransformation #MXO➡️ Learn more: https://abelara.com/➡️ Follow us: https://www.linkedin.com/company/abelara/Subscribe for insights on digital manufacturing, leadership, and system architecture.