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.

Kudzai Manditereza

Kudzai is a tech influencer and electronic engineer based in Germany. As a Senior Industrial Solutions Advocate at HiveMQ, he helps developers and architects adopt MQTT, Unified Namespace (UNS), IIoT solutions, and HiveMQ for their IIoT projects. Kudzai runs a popular YouTube channel focused on IIoT and Smart Manufacturing technologies and he has been recognized as one of the Top 100 global influencers talking about Industry 4.0 online.

Shashank Sharma

Shashank Sharma is Director of Product Marketing at HiveMQ, focusing on the company’s MQTT-based Industrial AI data platform across cloud and self-managed deployments. He is passionate about technology and developer-centric workflows, with 12+ years’ experience across software development, sales, and marketing for platforms and tools in numerical computing, autonomous driving, robotics, and AI.