Webinar Overview
Industrial manufacturers are under intense pressure to deliver higher throughput, better quality, and greater resilience without adding new plants or headcount. Agentic AI promises autonomous, multi‑agent decision-making across production, maintenance, quality, and supply chain — but only if it is built on the right data, semantics, and governance foundations.
In this webinar, we walk through a practical blueprint for operationalizing agentic AI in industrial environments. You’ll learn how to:
- Establish real-time streaming data with MQTT and a Unified Namespace
- Build a semantic layer that makes data intelligible to agents, define high‑value use cases and autonomy levels
- Apply governance frameworks that keep safety and compliance non‑negotiable.
We’ll close with a reference architecture showing how the HiveMQ Industrial AI Platform becomes the operations backbone for coordinated multi‑agent intelligence across your plants.
